analytics consultant

MassMutual

<div><div><h2 class="jobSectionHeader"><b>Overview</b></h2>
<p>A career with us means you&rsquo;ll work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are at the foundation of what enables MassMutual to deliver on our purpose to help people secure their futures and protect the ones they love.</p>
<p>We embrace the idea that we all are stronger and better through our support for one another. We strive to create a culture where employees feel valued and are celebrated for who they are.</p></div></div><div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><div><div><p><b>The Opportunity
</b></p><p>As an Analytics &amp; Insights Consultant, you will operate as a strategic thought partner to Operations executives, shaping decisions that materially impact performance across New Business, Policyholder Services, Claims, and the Call Center. You will help senior leaders understand not just what is happening in the business, but why it matters, what tradeoffs it creates, and where action is needed next. You will connect operational signals to financial results, pricing factors, and advisor experience and enable leadership to comprehend both current events and their significance.</p><p></p><p>
This is a business-first analytics role for someone who excels at proactively shaping insights from complex operational data to enable timely, well‑informed decisions. Success in this role depends as much on judgment, business acumen, and communication as on technical analytical skill. You will partner with leaders to define the optimal analytical questions and develop practical, forward‑looking insights and frameworks. In parallel, you will need continuously scan the operational environment and relevant industry trends to identify emerging opportunities, risks, and unanswered questions that merit analytic focus.</p><p></p><p><b>
The Team</b></p><p>
The Analytics &amp; Insights team sits within Business Intelligence and partners deeply with Operations and those who leverage Operations data across the entire enterprise. This role is expected to contribute to and reinforce strong insight practices across the team&mdash;modeling how to combine data, business context, and strategic reasoning to support high quality decision-making. As a player-coach, you will provide expertise, mentor colleagues, and contribute to the ongoing development of collective capabilities, while promoting analytics as an integral decision-making capability rather than solely a reporting function.</p><p></p><p><b>
The Impact
</b></p><p>This position involves influencing and guiding decisions across teams and leadership levels. You will regularly engage senior leaders, challenge assumptions with confidence and credibility, and translate complex system dynamics into clear choices. While this role does not include formal people leadership, it carries accountability for insight quality, clear recommendations, and tradeoffs leaders need to make.</p><p>
In this role, you will:</p><ul><li><b>
Lead insight work on high-priority operational challenges</b> by developing a deep, end‑to‑end understanding of operational systems, demand drivers, cost structures, and constraints, and by continuously refining the questions analytics should answer to support leadership priorities.</li><li><b>
Translate operational insights into decision‑ready implications</b>, synthesizing performance, risk, and tradeoffs so leaders can balance service, cost, growth, and experience when making operational and strategic choices.</li><li><b>
Lead critical strategic analyses</b> such as workforce and capacity planning, scenario modeling, and performance diagnostics, integrating uncertainty and judgment into clear options for senior leaders.</li><li><b>
Apply systems thinking at scale</b>, identifying early signals and articulating how changes in volume, mix, policy, or process design create <b>both opportunities and risks</b> across Operations, experience, and cost structures.</li><li><b>
Influence executive decisions</b> through clear, structured narratives that integrate data, context, and judgment, including when insights challenge entrenched perspectives or preferred outcomes.</li><li><b>
Elevate team capability and partnership effectiveness</b> by mentoring others on problem framing, insight storytelling, and executive communication, and by serving as a trusted advisor to Operations leaders and Internal Business Partners.</li></ul></div></div><p></p><div><div><p><b>
The Minimum Qualifications</b></p><ul><li><p>
8+ years of experience in analytics, consulting, or competitive intelligence roles supporting operational or strategic decision‑making.</p></li><li><p>
8+ years of experience within the insurance or financial services/distribution industry, with demonstrated exposure to Operations and experience connecting operational performance to broader business outcomes.</p></li><li><p>
5+ years experience translating complex analyses into clear implications and recommendations for senior, non‑technical stakeholders.</p></li></ul><p></p><p><b>
The Ideal Qualifications</b></p><ul><li>
Demonstrated ability to operate independently in ambiguous environments, framing problems and determining analytical approaches without predefined direction.</li><li>
Demonstrated experience in one or more operational domains including leading insights in financial, pricing, or advisor‑related implications.</li><li>
Experience leading cross-functional work where success depended on framing the right problem, bringing data and business judgment together, and guiding leaders toward clear decisions</li><li>
Strong systems thinking, with the ability to explain how changes in one part of Operations create downstream impacts across people, process, technology, and demand.</li><li>
Comfort working with data directly and using analytical tools (e.g., SQL, Tableau, Power BI, Python, R, or similar) to explore issues, develop insight, and communicate findings.</li><li>
Demonstrates strong executive presence and a proven ability to influence senior leaders by delivering clear recommendations, framing scenarios effectively, and communicating through concise storytelling.</li><li>
Experience designing and evolving forecasting, staffing, or scenario‑planning frameworks that support ongoing decision‑making rather than one‑time analyses.</li><li>
Proven record of enhancing team performance through informal leadership, mentoring peers, and promoting shared standards for analysis and storytelling.</li><li>
Knowledge of competitive marketplace</li></ul><p></p><p>
#LI-SC1</p></div></div>
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.<br>
<br>
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
<br>
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California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
<div><p>MassMutual will accept applications on an ongoing basis until such time as a candidate has been offered employment. The job description includes the main duties of this position, which may evolve over time. You may be required to perform other duties not listed.
</p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.</p><br>
<div><br>
Salary Range: $128,000-$168,000</div></div></div></div><p></p>
<br><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Award-Winning Culture</b></h2>
<p>MassMutual is guided by a single purpose: We help people secure their future and protect the ones they love. As a company operated for the benefit of our members and participating policyowners, we are defined by mutuality and our vision to provide financial well-being for all Americans. It&rsquo;s more than our company structure &mdash; it&rsquo;s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources and rely on each other when it counts.</p>
<p>We strive to build a thriving community where everyone is valued, included, and feels that they belong.</p>
<p>At MassMutual, we Live Mutual.</p>
</div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>How We Work</b></h2>
<p>MassMutual&rsquo;s flexible workplace approach combines the importance of connecting in person and the flexibility of working remotely. Our hybrid model puts collaboration first with employees coming in at least three days per week to our spectacular campus settings and also enjoying the flexibility of remote Fridays, company-wide remote weeks, and a bank of flexible remote weeks to use throughout the year.</p>
</div></div></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Benefits for the whole you (and your loved ones)</b></h2>
<p>
There&rsquo;s more to your life than your job and there&rsquo;s more to your aspirations than a paycheck. We take a holistic view of compensation and benefits that provides the flexibility to create a healthy balance in your life for work, family, and community. We offer the benefits you&rsquo;d expect, like medical, dental, 401(k), and generous vacation time, but we also offer ones you might not expect, like three paid days for volunteering, a $1,250 annual Well-Being Wallet, and up to 320 hours of caregiver leave.</p>
<p>
Explore some of our offerings below.</p>
</div></div><div></div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Paid Time Off</b></h3>
<ul><li>In addition to generous vacation time, paid holidays, and flexible holidays, MassMutual offers 'take care' time to care for yourself or someone you love&mdash;whether for physical illness or mental health.</li>
</ul></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Health &amp; Well-Being</b></h3>
<p>
In addition to top-line medical and dental coverage, personalized mental health solutions, on-site and virtual health coaching, and much more, MassMutual reimburses employees up to $1,250 per year for eligible expenses supporting mental, physical, and financial well-being.</p>
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</div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Financial Well-Being</b></h3>
<p>
In addition to competitive salaries and bonuses, educational assistance programs, and much more, MassMutual offers up to a 10% total 401(k) benefit, consisting of a 5% company match and a 5% annual contribution.</p>
</div>
</div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Taking Care</b></h3>
<p>
MassMutual offers generous maternity and parental leaves, as well as bereavement leave to mourn the loss of a loved one (and the employee defines 'loved one'). In addition, we offer up to 320 hours of caregiver leave to help employees support loved ones in times of need.</p>
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</div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Giving Back</b></h3>
<p>
MassMutual offers three paid days for employees to volunteer with eligible nonprofits of their choice, and the MassMutual Foundation matches employee donation dollars to eligible nonprofit organizations up to $5,000 annually.</p>
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</div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Commuter Benefits</b></h3>
<p>
MassMutual offers a Qualified Commuter Program through which eligible employees can pay qualified workplace commuting expenses with before-tax dollars, as well as a commuter wallet option for employees based at Boston and NYC campuses.</p></div></div></div></div></div></div><div></div>

Analytics & Insights Consultant

Kaiser Permanente

<div><div><b>Job Summary:</b></div>
<br>
This individual contributor is primarily responsible for supporting data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts.<br>
<br>
This position supports the execution of creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, supports data analysis interpretation, and supports and develops analytical and/or statistical models enabling informed business decisions.<div><br>
<b>
Essential Responsibilities:</b></div><br>
<br>
<ul><br>
<li>Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.</li><br>
<li>
Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.</li><br>
<li>
Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.</li><br>
<li>
Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.</li><br>
<li>
Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.</li><br>
<li>
Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.</li><br>
<li>
Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis.</li><br>
<li>
Supports data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.</li><br>
<li>
Supports the execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.</li></ul><div><b><br>
Knowledge, Skills and Abilities: (Core)</b></div><ul><li>
Ambiguity/Uncertainty Management</li><li>
Attention to Detail</li><li>
Business Knowledge</li><li>
Communication</li><li>
Critical Thinking</li><li>
Cross-Group Collaboration</li><li>
Decision Making</li><li>
Dependability</li><li>
Diversity, Equity, and Inclusion Support</li><li>
Drives Results</li><li>
Facilitation Skills</li><li>
Health Care Industry</li><li>
Influencing Others</li><li>
Integrity</li><li>
Learning Agility</li><li>
Organizational Savvy</li><li>
Problem Solving</li><li>
Short- and Long-term Learning &amp; Recall</li><li>
Teamwork</li><li>
Topic-Specific Communication</li></ul><div><b><br>
Knowledge, Skills and Abilities: (Functional)</b></div><ul><li>
Data Extraction</li><li>
Data Mining</li><li>
Data Visualization Tools</li><li>
Relational Database Management</li><li>
Statistical Programming Language</li><li>
Written Communication</li></ul><div><br>
<b>Minimum Qualifications:</b></div><br>
<br>
<ul><br>
<li>Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.</li></ul><div><b><br>
Preferred Qualifications:</b></div><ul><li>
One (1) year regulatory experience.</li><li>
One (1) year experience working in a matrixed organization.</li></ul><br>
PrimaryLocation : Oregon,Portland,Kaiser Permanente Building<br>
HoursPerWeek : 40<br>
Shift : Day<br>
Workdays : Mon, Tue, Wed, Thu, Fri<br>
WorkingHoursStart : 08:00 AM<br>
WorkingHoursEnd : 05:00 PM<br>
Job Schedule : Full-time<br>
Job Type : Standard<br>
Employee Status : Regular<br>
Employee Group/Union Affiliation : NUE-NW-01|NUE|Non Union Employee<br>
Job Level : Individual Contributor<br>
Job Category : Data Analytics<br>
Department : Kaiser Permanente Building - KP Insight - 1008<br>
Travel : No<br>
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.</div>

Data Reporting and Analytics Consultant III - KPNW

ZS Associates

<div>:
<p><b>
ZS</b> is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by <b>bringing together data, science, technology</b> and <b>human ingenuity</b> to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a <b>client-first mentality</b> to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.</p><br>
<div></div>
 :
<div><b>
Associate Consultant, CMC Development &amp; Analytics</b></div><div></div><div><br>
ZS is looking to hire a <b>Decision Analytics Associate Consultant</b> in its Supply Chain and Manufacturing practice with experience in pharmaceutical CMC development, process science, biologics manufacturing, and tech transfer. The primary responsibility of this role is to support client engagements in the pharmaceutical CMC development area, with a focus on helping clients solve business and technical challenges across drug development, manufacturing, analytics, and technology-enabled transformation.</div><div></div><div><br>
This role will work with clients and ZS teams to address questions related to drug substance and drug product development, process development, tech transfer, process validation, future lab operating models, and CMC data analytics. The ideal candidate has industry experience working with <b>biologics</b>; small molecule experience is also acceptable. Cell and gene therapy experience is not required for this role.</div><div></div><div><br>
The Associate Consultant will bring a process scientist mindset, strong communication skills, and some consulting experience, including the ability to right-size deliverables, work effectively with clients, and translate technical concepts into clear business recommendations.</div><div></div><div><b><br>
What You&rsquo;ll Do: </b>In this role, you will...</div><ul><li>
Apply CMC, process science, and analytical skills to solve client questions related to pharmaceutical development, manufacturing, tech transfer, process validation, and regulatory readiness.</li><li>
Support client engagements focused on biologics manufacturing and development; small molecule experience is also relevant.</li><li>
Work collaboratively with clients to understand business needs, technical requirements, available data sources, and decision-making priorities.</li><li>
Analyze data from CMC, manufacturing, quality, regulatory, and development systems to generate actionable insights.</li><li>
Support projects involving drug substance, drug product, process development, formulation, analytical chemistry, tech transfer, process validation, and related CMC functions.</li><li>
Help clients think through future lab setups, lab operating models, digital lab capabilities, and ways to accelerate drug development.</li><li>
Contribute to the design of future-state CMC and lab operating models, including processes, roles, systems, data flows, and technology enablement.</li><li>
Translate scientific, manufacturing, and analytical findings into clear recommendations for client stakeholders.</li><li>
Communicate results with an emphasis on answering the client&rsquo;s business question, not just explaining the analytical process.</li><li>
Right-size deliverables based on client needs, project scope, timeline, and stakeholder expectations.</li><li>
Support project planning, workstream execution, deliverable development, and day-to-day client engagement.</li><li>
Build expertise across CMC analytics, biologics development, process science, pharmaceutical manufacturing, and digital transformation topics.</li><li>
Upskill on new CMC concepts, therapeutic modalities, analytics methods, and emerging technologies relevant to client challenges.</li><li>
Contribute to ZS&rsquo;s Supply Chain and Manufacturing practice development through knowledge assets, reusable tools, and thought leadership.</li></ul><div><b>
What You&rsquo;ll Bring</b></div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Biotechnology, Pharmaceutical Sciences, or a related technical discipline; PhD may substitute for work experience.</li><li>
At least 2.5 years of relevant pharmaceutical or biopharmaceutical CMC experience, preferably with biologics; small molecule experience is also acceptable.</li><li>
Hands-on experience in at least one CMC function, such as process development, process engineering, process chemistry, formulation, analytical chemistry, drug substance manufacturing, or drug product manufacturing.</li><li>
Strong process science foundation, including understanding of unit operations, process characterization, scale-up, tech transfer, process validation, manufacturing readiness, QbD, CQAs, CPPs, and control strategy.</li><li>
Familiarity with CMC regulatory milestones, submission requirements, and systems such as ELN, LIMS, ERP, LCM, PLM, MES, or related platforms.</li><li>
Experience using data analytics, modeling, reporting, visualization, AI-enabled tools, or technology solutions to generate insights and accelerate CMC development.</li><li>
Some consulting or client-facing experience, including working with clients, right-sizing deliverables, managing stakeholder expectations, and communicating recommendations clearly.</li><li>
Strong communication, problem-solving, attention to detail, teamwork, ownership, adaptability, and client-first mindset.</li><li>
Fluency in English</li><li>
Client-first mentality</li><li>
Intense work ethic</li><li>
Collaborative spirit and problem-solving approach</li></ul>
 :
<p><b>
How you&rsquo;ll grow:</b></p><ul><li>
Cross-functional skills development &amp; custom learning pathways</li><li>
Milestone training programs aligned to career progression opportunities</li><li>
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions</li></ul><p></p><p><b><br>
Perks &amp; Benefits:</b></p><p>
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you&rsquo;ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.<br>
</p><p></p><p><b>Hybrid working model:</b></p><p>
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.</p><p></p><p><b><br>
Travel:</b></p><p>
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.</p><p></p><p><b><br>
Considering applying?</b></p><p>
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.</p><p></p><p><br>
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.<br>
<br>
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.<br>
<br>
To complete your application:<br>
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.<br>
<br>
NO AGENCY CALLS, PLEASE.<br>
<br>
Find Out More At:<br>
www.zs.com</p></div>

Associate Consultant - CMC Development & Analytics

Wells Fargo

<div><h2 class="jobSectionHeader"><b>About this role:
</b></h2><h2 class="jobSectionHeader"><b>Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</b></h2><h2 class="jobSectionHeader"><b>
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</b></h2><h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</b></h2></li><li><h2 class="jobSectionHeader"><b>
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</b></h2></li><li><h2 class="jobSectionHeader"><b>
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</b></h2></li><li><h2 class="jobSectionHeader"><b>
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</b></h2></li><li><h2 class="jobSectionHeader"><b>
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</b></h2></li><li><h2 class="jobSectionHeader"><b>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
2+ years of previous marketing campaign analytics experience</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical skills, with experience using data and insights to inform marketing decisions</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in SQL, Python / R, and other programming languages</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in Data visualization preferably with Tableau</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with large production data sets</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</b></h2></li><li><h2 class="jobSectionHeader"><b>
Expertise in statistical testing</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Job Expectations:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</b></h2></li><li><h2 class="jobSectionHeader"><b>
This position is not eligible for Visa sponsorship.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Relocation assistance is not available for this position.</b></h2></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
16 Jun 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Campaign Analytics & Data Science Consultant

Elder Research Inc

<div><p><b>Senior Data Scientist</b></p>
<p></p><p><b>General Information</b></p>
<p><b>Requisition # 717</b></p>
<p><b>Locations</b> USA-VA-Arlington</p>
<p><b>Posting Date</b> 06/12/2026</p>
<p><b>Security Clearance Required</b> - IRS MBI</p>
<p><b>Remote Type</b> Hybrid</p>
<p><b>Time Type</b> Full time</p>
<p></p><p><b>Description &amp; Requirements</b></p>
<p>Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.</p>
<p>As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.</p>
<p>In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.</p>
<p><b>Responsibilities include but are not limited to:</b></p>
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
<p><b>Minimum Qualifications:</b></p>
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
<p><b>Clearance Requirements:</b></p>
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
<p><b>Physical Requirements:</b></p>
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
<p></p><p><b>About Elder Research, Inc</b> - <b>People Centered. Data Driven</b></p>
<p><i>Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.</i></p>
<p><i>If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</i></p></div>

Senior Data Scientist

The Home Depot

<p>Position Purpose:<br/></p><p>The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.<br/>As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.<br/></p><p>Key Responsibilities:<br/>55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies<br/>20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation<br/>10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals<br/>15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented<br/></p><p>Direct Manager/Direct Reports:<br/>This position typically reports to Manager or above<br/>This position has 0 Direct Reports<br/></p><p>Travel Requirements:<br/>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.<br/></p><p>Working Conditions:<br/>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/>Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience<br/>4+ years of experience in business intelligence and analytics<br/>Working knowledge of Microsoft Excel and Power Point<br/>Experience in a modern scripting language (preferably Python)<br/>Proficient running queries against data (preferably with Google BigQuery or SQL)<br/>Proficient with data visualization software (preferably Tableau)<br/>Proficient utilizing statistical techniques to identify key insights that help solve business problems<br/>Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP<br/>Demonstrated experience in predictive modeling, data mining and data analysis<br/></p><p>Minimum Education:<br/>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.<br/></p><p>Preferred Education:<br/>No additional education<br/></p><p>Minimum Years of Work Experience:<br/>3<br/></p><p>Preferred Years of Work Experience:<br/>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/>None<br/></p><p>Preferred Leadership Experience:<br/>None<br/></p><p>Certifications:<br/>None<br/></p><p>Competencies:<br/>Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm<br/>Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals<br/>Collaborates: Building partnerships and working collaboratively with others to meet shared objectives<br/>Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences<br/>Customer Focus: Building strong customer relationships and delivering customer-centric solutions<br/>Drives Results: Consistently achieving results, even under tough circumstances<br/>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder<br/>Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement<br/>Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals<br/>Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels<br/></p>

Data Scientist - Network Strategy

Steritech

<div><p><b>Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!</b></p><p><i>
For more information about our benefits, see below!</i></p><p></p><p>
We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to &quot;protect people, enhance lives, and preserve the planet.&quot;</p><p></p><div><p><b><br>
***No OPT or sponsorship available***</b></p><p><b>
Overview</b></p><p>
This client-facing, strategic role is responsible for analyzing large and complex data, developing and implementing insights that address cost efficiency, advanced AI, and predictive analytics, in addition to improvement recommendations for both clients and internal business partners. This role leads and manages analytics projects to develop solutions through understanding client strategies and providing analytical recommendations to enable clients (and the Steritech business) to achieve business goals. To accomplish this, the person in this role must excel at conducting research, collaborating with other analytical and non-analytical professionals, translating technical and analytical information into actionable insights for stakeholders, and mentoring and coaching junior Business Intelligence colleagues. The job requires strong analytical, problem-solving, project management, and communication skills, as well as technical expertise in programming languages, analytical tools, and systems.</p><p><b><br>
Duties &amp; Responsibilities</b></p><ul><li><p><br>
Obtain a deep understanding of relevant business area(s), both internally and for clients, to recommend data-driven solutions that address cost, efficiency, and quality improvements.</p></li><li><p>
Create and statistically analyze complex data (both internal and external) and identify patterns and trends to provide forward-looking insights and recommendations to stakeholders.</p></li><li><p>
Leading and managing analytics project requirements and goals from start to finish, ensuring that they are delivered on time, contain accurate and meaningful insights and to the required quality standards.</p></li><li><p>
Design &amp; develop innovative business solutions (analytical models, data structures) that meet business needs and requirements and delivery to client or business leadership.</p></li><li><p>
Engages with stakeholders to establish measurable business metrics and analytical frameworks that evaluate the health of our products, our customer experience, and client performance. Primary stakeholder relationships are Client leadership (CEO, COO, Director, Program managers), internal business leadership (BSB VP and Directors), and functional leads.</p></li><li><p>
Responsible for leading prototyping new analysis and reports for the purpose of enhancing business processes, operations and information process flow.</p></li><li><p>
Stay current with the latest developments in the analytics industry, including new technologies, tools, and best practices, and champion their adoption where beneficial.</p></li><li><p>
Conducts research and analysis into the nature, effect, and results of process problems including root cause analysis through strategic client discussion.</p></li><li><p>
Identifies opportunity trends and recommends solutions through design and preparation of clear reports, charts, and graphs to depict trends.</p></li><li><p>
Coordinates and presents concise summaries and briefings to senior management and client leadership that highlight key insights and recommended actions.</p></li><li><p>
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing data infrastructure for greater scalability.</p></li><li><p>
Create continuous improvement in the Data Analytics function through process improvement and application of industry innovation.</p></li><li><p>
Leads the research and development of data models to produce insights around complex and impactful problems for both internal business challenges and client initiatives.</p></li><li><p>
Analyze data to find concrete insights and deliver solutions to key business challenges using machine learning, text-mining/NLP from structured and unstructured data to assist in new product development, improving the quality of the products, and improving customer service experience.</p></li><li><p>
Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions.</p></li><li><p>
Regularly review and update our existing data, models and algorithms to ensure that they remain relevant for client usage.</p></li><li><p>
Establish productive, professional and consultative relationships with key personnel throughout assigned client organizations (at both the franchise and corporate level) to understand their strategic business models to enable high quality insights.</p></li><li><p>
Mentor junior members of the team.</p></li><li><p>
Performs all other duties as assigned.</p></li></ul><p><b>
Candidate Requirements</b></p><p><b><br>
Education</b></p><ul><li><p>
Bachelor&rsquo;s degree in relevant fields such as Mathematics, Statistics, Economics, Operations Research, Analytics or Engineering plus at least 5 years of relevant experience (e.g. data science, analytics, or related technical role)</p></li><li><p>
Optional Master&rsquo;s degree in Business, Computer Science, MIS or Business Analytics</p></li></ul><p><b><br>
Experience</b></p><ul><li><p>
5-10 years of experience in the business intelligence and technical space, managing projects, making insightful recommendations or any equivalent of experience, education and/or training</p></li><li><p>
Experience in acquiring, cleaning, and analyzing large data sets</p></li><li><p>
Experience with analytical visualization software such as SAS, R. Matlab, Python (Pandas/Scipy), Qlik, Tableau, PowerBI, etc</p></li></ul><p><b><br>
Skills &amp; Competencies</b></p><ul><li><p>
Advanced SQL knowledge and programming skills.</p></li><li><p>
Familiarity with relevant methodologies, tools and techniques.</p></li><li><p>
Ability to quickly learn the objectives, structures, operations and policies of a new business area.</p></li><li><p>
Ability to engage varied audiences to determine the explicit / implicit requirements and derive analysis to solve client business goals.</p></li><li><p>
Experience leading and motivating others while demonstrating empathy and a collaborative approach.</p></li><li><p>
Outstanding communication skills with demonstrated ability to influence at all levels with a range of internal and external stakeholders.</p></li><li><p>
Ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.</p></li><li><p>
Critical thinking skills for formulating hypotheses, interpreting results, and proposing data-driven solutions.</p></li><li><p>
Ability to anticipate problems and opportunities and the initiative to pursue solutions.</p></li><li><p>
Intellectual curiosity and business acumen.</p></li><li><p>
Results orientation and persistence.</p></li><li><p>
Mentors and coaches the development of less experienced business analysts.</p></li><li><p>
Expert in Data structures, Excel and PowerPoint</p></li></ul></div><div><p><b>
Base Pay Range - </b>$85,600 - $111,200 / year<br>
<br>
While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).</p></div><p></p><h2 class="jobSectionHeader"><b>
Base Pay Range</b></h2>
Yearly: $85,600.00 - $111,200.00<p></p><p>
While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).</p><p></p><p><b>
Why Choose Us?</b><br>
<br>
A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives.<br>
<br>
Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria.<br>
<br>
Click here to read more about our Total Rewards Program which includes:<br>
<br>
<b>Professional and Personal Growth</b></p><ul><li><p>
Multiple avenues to grow your career</p></li><li><p>
Training and development programs available</p></li><li><p>
Tuition Reimbursement benefits (for FT Colleagues)</p></li></ul><p><b><br>
Health and Wellness</b></p><ul><li><p>
Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1</p></li><li><p>
Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more</p></li></ul><p><b><br>
Savings and Retirement</b></p><ul><li><p>
401(k) retirement plan with company-matching contributions
</p></li></ul><p></p><p><b>Work-Life Balance</b></p><ul><li><p>
Vacation days &amp; sick days</p></li><li><p>
Company-paid holidays &amp; floating holidays</p></li><li><p>
A company mindset that prioritizes health, safety, and flexibility</p></li></ul><p><br>
We are looking for individuals who want to make a difference where our customers live and work. Is that you?</p><p><br>
This company is a Drug Free workplace.</p><p></p><p>
Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.</p><p></p><p>
California residents click here to review your privacy rights.</p><p></p><div><p>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p></div><p></p><p>
By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.</p></div>

Senior Data Analyst, Steritech

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