advanced analytics associate

Jobs for Humanity

<div>Company Description 
The RRS Group, and its affiliated entities (collectively, &ldquo;RRS&rdquo;) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties.
Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability. 
Commitment to Community
For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate. 
Our Core Values
Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships.
Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Our care shows itself in our commitment to &ldquo;safety first&rdquo; in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources.
Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Our collective contributions are greater than our skills. We will be transparent and understand each other&rsquo;s expertise to provide the most value when delivering our services to one another and our clients.
Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways. We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve.
 If you share these core values, we have the right opportunity for you 
Application Submission deadline: May 15, 2026 
Submit your application through our official career site: https://www.myrrsgroup.org/careers/ 
Job Description 
RRS Group is seeking a motivated and analytical Associate Data Scientist to join our team as part of the 2026 New College Graduate hiring program. This role is ideal for candidates with a strong foundation in data analysis, machine learning, statistical modeling, and Generative AI applications. The Associate Data Scientist will work closely with cross-functional teams to analyze large datasets, develop predictive models, generate actionable insights, and support data-driven business decisions.
The ideal candidate demonstrates technical proficiency in SQL and Python, hands-on experience with machine learning and analytics tools, and familiarity with modern AI-assisted workflows and responsible AI practices. 
Key Responsibilities<ul><li>
Extract, transform, aggregate, and analyze large and complex datasets using SQL, Python, R, Spark, and related technologies.</li><li>
Perform exploratory data analysis (EDA), feature engineering, and data validation to support analytics and modeling initiatives.</li><li>
Develop, evaluate, and maintain descriptive and predictive machine learning models using tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.</li><li>
Apply statistical modeling and data mining techniques, including regression, classification, clustering, decision trees, and related methodologies.</li><li>
Utilize Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to improve analytical workflows and insight generation.</li><li>
Apply Generative AI techniques such as prompt engineering, text summarization, classification, and LLM-assisted analysis in business or research applications.</li><li>
Collaborate with stakeholders to translate business problems into analytical solutions and communicate findings effectively.</li><li>
Build and maintain business intelligence solutions and dashboards using Tableau, Power BI, or similar visualization platforms.</li><li>
Define metrics, validate data quality, and support semantic layer development to ensure accurate reporting and business insights.</li><li>
Follow responsible AI principles, including awareness of data privacy, bias mitigation, ethical AI usage, and model limitations.</li></ul> 

Qualifications 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, with graduation expected in 2026.</li><li>
Minimum of 2 years of experience in data analysis, quantitative modeling, or data-driven decision-making through academic, internship, research, or professional experience.</li><li>
Proficiency in SQL and Python for data analysis, visualization, and modeling.</li><li>
Experience working with large datasets and distributed data processing tools such as Spark.</li><li>
Strong understanding of statistics and machine learning fundamentals, including model evaluation techniques.</li><li>
Hands-on experience with machine learning libraries and tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.</li><li>
Exposure to Generative AI technologies and AI-assisted analytical workflows.</li><li>
Familiarity with business intelligence and visualization tools such as Tableau or Power BI.</li><li>
Strong analytical thinking, problem-solving, and communication skills.</li></ul> 
Preferred Qualifications<ul><li>
Experience with cloud-based analytics or machine learning platforms.</li><li>
Coursework or project experience involving NLP, LLMs, or AI-driven analytics.</li><li>
Knowledge of responsible AI practices, governance, and ethical AI considerations.</li><li>
Experience developing dashboards, KPI reporting systems, or executive-level business insights.</li></ul> 
Technical Skills<ul><li>
Programming Languages: Python, SQL, R, SAS</li><li>
Data &amp; ML Tools: scikit-learn, Spark, Jupyter Notebooks</li><li>
Visualization Tools: Tableau, Power BI</li><li>
AI/GenAI Tools: LLMs, AutoML, coding assistants</li><li>
Statistical Techniques: Regression, classification, clustering, decision trees, predictive modeling</li></ul>
Preferred Competencies<ul><li>
Strong attention to detail and data quality</li><li>
Ability to manage multiple projects in a fast-paced environment</li><li>
Effective collaboration and communication skills</li><li>
Curiosity for emerging AI and data science technologies</li><li>
Commitment to ethical and responsible AI practices</li></ul> 

Additional Information 
What can you expect from us:<ul><li>
Opportunities to learn and develop every day through a wide range of programs.</li><li>
Internal digital platforms that promote self-learning.</li><li>
Development programs according to Leadership skills.</li><li>
Specialized training according to the role.</li><li>
Learning experiences with internal and external providers.</li><li>
We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.</li><li>
Financial wellness programs that will help you reach your goals in all stages of life.</li><li>
A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.</li><li>
And because your family is also important to us, they can also enjoy benefits such as our WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.</li></ul> 
Work Hours: Varies upon the needs of the global department.
RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
RRS Group will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
#TransformingSpacesBuildingFutures
#Remote</div>

Associate Data Scientist, New College Grad - 2026

Palm Tree

<div>Associate/Senior Associate, Data &amp; Analytics 
 
About Palm Tree 
Palm Tree is a modern M&amp;A value creation firm that integrates financial consulting, operational consulting, and investment banking services. Founded in 2010, Palm Tree partners with private equity firms, business operators, and management teams through strategic events including acquisitions, carve-outs, recapitalizations, restructurings, integrations, and performance improvement initiatives. 
Palm Tree&rsquo;s Data &amp; Analytics practice helps private equity portfolio companies and middle-market businesses build modern, insight-driven data capabilities. Our team works alongside executive leadership to design, implement, and optimize data infrastructure and analytics solutions that provide real-time visibility into operational and financial performance.
The Senior Associate Position 
The Senior Associate is a key execution leader within Palm Tree&rsquo;s Data &amp; Analytics practice. Senior Associates manage client workstreams, build analytics solutions, and help organizations translate complex data into actionable insights. 
This role blends hands-on technical development with client-facing collaboration. Senior Associates work directly with business stakeholders to design data models, build reporting infrastructure, and implement analytics frameworks that support operational decision-making. 
The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is comfortable working in entrepreneurial settings where processes and solutions are continuously evolving.
Core Responsibilities 
Data Modeling &amp; Engineering<ul><li>
Write production SQL to model, transform, and validate data across multiple source systems including ERP, CRM, and operational databases
</li><li>Build and maintain scalable data models that support reporting and analytics use cases
</li><li>Optimize query performance across complex multi-table schemas
</li><li>Document data pipelines, transformation logic, and business rules
</li></ul>Business Intelligence &amp; Reporting<ul><li>
Develop and maintain Power BI semantic models, reports, and dashboards
</li><li>Design KPI reporting frameworks that provide leadership teams with clear operational insights
</li><li>Implement row-level security and governance controls within BI environments
</li><li>Support deployment and maintenance of reporting pipelines
</li></ul>Data Strategy &amp; Client Engagement<ul><li>
Translate business questions into data requirements and analytical frameworks
</li><li>Partner with client stakeholders to define metrics, reporting needs, and data structures
</li><li>Support data governance, quality assurance, and analytics best practices
</li><li>Lead meetings and working sessions with business and technical stakeholders
</li></ul>Analytics Delivery &amp; Workstream Ownership<ul><li>
Independently manage analytics workstreams across client engagements
</li><li>Scope projects, estimate level of effort, and manage delivery timelines
</li><li>Synthesize insights from structured and unstructured data sources
</li><li>Deliver actionable recommendations that support operational and financial decision-making
</li></ul>Team Development &amp; Practice Growth<ul><li>
Mentor and support junior team members across analytics engagements
</li><li>Contribute to internal knowledge development and data architecture standards
</li><li>Support development of analytics methodologies and delivery frameworks within the practice
</li></ul>Qualifications<ul><li>
3+ years of experience in data analytics, business intelligence, or data engineering roles
</li><li>Strong SQL proficiency, including CTEs, window functions, subqueries, and complex joins
</li><li>Hands-on experience building Power BI models, DAX measures, and dashboards
</li><li>Experience translating business requirements into analytical frameworks and reporting solutions
</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders
</li><li>Ability to manage multiple workstreams in fast-paced consulting or advisory environments
</li></ul>The ideal candidate will demonstrate strong analytical thinking, curiosity, and a willingness to solve complex data problems in entrepreneurial environments.
Preferred Experience<ul><li>
Experience working with cloud data platforms such as Azure or Snowflake
</li><li>Familiarity with ETL/ELT tools including Azure Data Factory or dbt
</li><li>Experience using Python for data transformation or automation
</li><li>Exposure to private equity or portfolio company environments
</li><li>Familiarity with ERP systems such as AS/400, NetSuite, or similar
</li></ul>Compensation and Benefits<ul><li>
Base salary range of $125,000&ndash;$150,000, with performance-based bonus opportunities.</li><li>
Comprehensive benefits package including medical, dental, and vision insurance.</li><li>
Competitive 401(k) program with employer matching contributions.</li><li>
Hybrid work environment with access to offices in Los Angeles, Chicago, and New York.</li><li>
Unlimited paid time off (PTO).</li><li>
Opportunities for career advancement within a merit-based, entrepreneurial culture.</li></ul>
_____________________________________________________________________________________
What to Expect When Applying
Whether this is your first time applying to Palm Tree or you&rsquo;ve connected with us before, you are welcome to use this portal to submit an updated r&eacute;sum&eacute;, cover letter, or other materials. Our recruiting team will thoughtfully incorporate your most recent information into your existing application profile. And yes&mdash;we do read cover letters. In fact, the cover letter is a great place to demonstrate why you're qualified for a position, even if you do not meet all requirements.
Application Confirmation 
After submitting your application, you will receive an email confirming that we&rsquo;ve received your materials.
Initial Review 
Once your application has been reviewed and added to our active candidate database, you will receive a second confirmation email. Timing for this step can vary based on current hiring needs and priorities, so we appreciate your patience.
Note: If a role is marked as an &ldquo;immediate&rdquo; opening, the posting will typically outline specific timelines for each stage of the process, including a potential start date.
Screening 
If and when a suitable opportunity arises, a member of our hiring team will reach out to schedule an introductory conversation. The timing of this step is demand-driven and can vary.
Interviews 
Qualified candidates will be invited into a formal interview process. As with earlier stages, timing may vary depending on hiring priorities and role requirements.
While we do carefully review every application, we are unable to provide individual feedback to all candidates due to application volume. We value transparency and sincerely appreciate your understanding.
Important Notice 
Palm Tree is not currently engaging outside recruiters or headhunters for this search. Unsolicited r&eacute;sum&eacute; submissions from third parties may inadvertently disqualify a candidate. All interested and qualified candidates should apply directly through this portal.
OuEl2Oo1b2</div>

Associate, Data & Analytics

ZS Associates

<div>:

ZS 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 bringing together data, science, technology and human ingenuity 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 client-first mentality 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. 
<div></div>
 : Advanced Data Science Consultant - Artificial Intelligence (AI) &ndash; Research, Development and Engineering (RDE)
Salary: $175000 to $215000 per year

Location: Evanston, IL and various, unanticipated locations throughout the United States.

Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.

Job Role and Responsibilities: ZS&rsquo;s Artificial Intelligence (AI) &ndash; Research, Development and Engineering (RDE) group focuses on designing and building advanced AI and data science solutions, particularly for the life sciences industry. Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates, Associate Consultants and Consultants in the United States, requiring an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, modeling, and statistical analysis (15%); Direct all aspects of project acquisition and project management using business analytics and/or scientific software and operating systems while applying mathematical and deductive reasoning (15%); Liaise with Project Leadership to define the project scope and budget and develop analytics strategies (15%); Manage client relationships to drive new business development and ensure long term strategic partnerships (10%); Manage both internal and external team communications, including directing internal team status meetings and communicating any changes in deadlines, scope, and timing with client project managers (10%); Provide technical leadership and innovation within projects and practice areas, advising internal groups and leading initiatives on business operations excellence (10%); Develop data science capabilities and offerings that create scale and advance ZS' analytic platform (15%); Supervise business and strategy development activities and cultivate and expand client relationships (5%); Direct recruiting, training, coaching, mentoring, HR-related policies (leave, Performance Improvement Plans, etc.) for subordinates and provide developmental opportunities for team members (5%). May work at various unanticipated locations throughout the U.S. Position may require up to 25% domestic travel.
Contact: Apply online or contact ZS at careers@zs.com referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.

Qualifications: Master's degree, or foreign degree equivalent, in Business Administration, Applied Mathematics, Business Analytics, Data Science, Computer Science, Engineering, Information Technology, or a related field and 3 years of experience in the job offered or in a related pharma, life sciences, or healthcare management consulting role. Alternatively, employer will accept a Bachelor&rsquo;s degree, or foreign degree equivalent, in Business Administration, Applied Mathematics, Business Analytics, Data Science, Computer Science, Engineering, Information Technology, or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or in a related pharma, life sciences, or healthcare management consulting role.
Position requires experience with the following: 1.Managing end-to-end projects; 2.Leading/mentoring teams; 3.Client-facing experience; 4.Front-end user reporting; 5.BI solution design and implementation; 6.Java, Python, R, or related programming language; 7.Machine learning or deep learning, including advanced analytics and algorithms; 8.Data engineering or analysis. 9.Business development activities, including identifying new opportunities, analyzing trends, building relationships with stakeholders, developing new products or services, and collaborating with sales and marketing teams; and 10.Preparing responses to Request for Proposals (RFPs). :

How you&rsquo;ll grow:<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> 
Perks &amp; Benefits:
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. 
Hybrid working model:
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. 
Travel:
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. 
Considering applying?
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. 
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. 
 
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. 
 
To complete your application: 
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. 
 
NO AGENCY CALLS, PLEASE. 
 
Find Out More At: 
www.zs.com</div>

Advanced Data Science Consultant - MP26 (Evanston, IL)

Adobe

The Opportunity
 
We are seeking a highly skilled Advanced Analytics & Reporting Analyst 3 to join Adobe's world-class team! This is your chance to contribute to innovative projects that are crafting the future of technology. You will build and maintain full BI solutions in Power BI. You will also develop ELT/ETL pipelines and integrate powerful AI features into our reporting and analytics processes.
 What you'll Do
 
Develop and sustain data models, semantic layers, and dashboards in Power BI.
 Write and optimize advanced DAX for correctness and performance.
 Configure and monitor Power BI capacity, utilization, and refresh health.
 Apply row-level security and grasp application security layer models.
 Design and sustain ELT/ETL pipelines in Databricks using Delta Lake and medallion architecture.
 Monitor and troubleshoot scheduled jobs, workflows, and data refresh processes.
 Develop and manage Databricks-native reports, dashboards, and analytics assets.
 Incorporate Databricks AI and Gen AI features into reporting and analytics workflows.
 Write and maintain Python scripts for data transformation, automation, and reporting tasks.
 Support ad-hoc executive requests and planning deliverables.
 Help evaluate and incorporate innovative technologies into our tech stack.
 What you need to succeed
 
Degree or equivalent practical experience is required.
 Proven experience with Power BI and Databricks.
 Strong expertise in advanced DAX and data modeling.
 Outstanding proficiency in building and managing ELT/ETL pipelines.
 Proficiency in Python scripting and application development.
 Ability to effectively apply row-level security and application security models.
 Preferred qualifications: Advanced degree or equivalent professional experience paired with expertise in AI and Gen AI capabilities.
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $85,300 -- $186,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $128,600 - $186,200
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 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.

Advanced Analytics & Reporting Analyst 3

SAIC

<div>Job ID: 2612311
Location: Upper Marlboro, MD, US
Date Posted: 2026-05-07
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: ORA_HYBRID 
Description
SAIC is looking for a Data Scientist Associate to help the Identity and Data Sciences Laboratory (IDSL) which is tasked with identifying state-of-the-art technologies including facial recognition and AI, evaluating performance, and examining their applicability to existing or emerging customer use cases. The IDSL has a cutting-edge infrastructure consisting of both on-prem distributed computing clusters and cloud based analytic environments, which we use for gathering and processing multi-modal data in real-time from large-scale experiments conducted at our test facility (Maryland Test Facility; http://mdtf.org), in field locations, as well as from external data sources.
Hybrid - 3 Days in Office / 2 Days Remote
What You Will Be Doing:<ul><li>
Contribute to data acquisition, management, and processing tasks, working with senior data scientists, software engineers and evaluation designers to build efficient data pipelines</li><li>
Access available infrastructure, and to develop analytic products tailored to mission user requirements</li><li>
Work with senior team members to organize, clean, migrate and process datasets with advanced computer vision algorithms</li><li>
Testing different LLMs</li></ul>
Qualifications
Requirements:<ul><li>
A bachelor&rsquo;s degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026</li><li>
Ability to obtain and maintain a public trust requiring US Citizenship</li><li>
Proficient in programming a must (Python, C++, Golang, Java, etc.)</li><li>
Ability to build out data pipelines as this will be the main function of role</li><li>
Desire to learn GoLang</li><li>
Familiar with machine learning, data mining, and/or statistics (R, Python, etc.)</li><li>
Familiar with source control (e.g., Git)</li><li>
Familiar with common data formats (JSON, Parquet, XML, etc.)</li><li>
Familiar with database technologies (SQL, NoSQL)</li><li>
Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audience</li></ul>
Desired Skills:<ul><li>
Prior experience related to data engineering, data science, data architecture, and databases</li><li>
Understanding of scaling and performance of distributed/cloud systems (AWS)</li><li>
Understanding of data science concepts, AI/ML, automation, and scripting</li><li>
Experience with techniques and platforms to manage, manipulate, and draw insight from large datasets (Spark, Hadoop, Databricks, etc.)</li></ul> 

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Data Scientist Associate

<div>
 
 
 Line of Service
 
 
 Internal Firm Services
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 IFS - Human Capital (HC)
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, the Senior Associate I &ndash; HR Analytics is a key member of the Human Capital Development function, responsible for designing and managing analytics frameworks, performance reporting, and insights that inform talent decisions. The role requires strong technical capability, sound judgment, and independent ownership of HR analytics projects in close partnership with HC leadership and business stakeholders.
 
 
 
 This role requires strong analytics skills, solid understanding of performance management cycles, and the ability to convert complex workforce data into concise, executive-ready insights.
 
 
 Examples of the skills, knowledge, and experience required at this level include, but are not limited to:
 
 
 
 1. Performance Management Analytics &amp; Cycle Support
 
 
 <ul>
 <li>
 Manage data architecture for performance cycles (goal-setting, mid-year, year-end, promotions)
 
 </li>
 <li>
 Maintain performance tracking against KPIs and competency frameworks at individual, team, and unit level
 
 </li>
 <li>
 Track compliance (submissions, completion, feedback participation) across levels and service lines
 
 </li>
 <li>
 Produce cycle-close analytics (completion, rating distributions, ranking compliance, BU comparisons)
 
 </li>
 <li>
 Ensure data integrity and audit trails in line with governance standards.
 
 
 </li>
 </ul>
 
 2. Feedback Analytics &amp; Compliance Monitoring
 
 
 <ul>
 <li>
 Administer and analyze firm-wide feedback data (participation, quality, trends)
 
 </li>
 <li>
 Develop automated dashboards on feedback compliance and quality for HC leadership
 
 </li>
 <li>
 Conduct basic sentiment/thematic analysis on qualitative feedback to surface key themes and gaps
 
 </li>
 <li>
 Maintain feedback effectiveness scorecards against defined benchmarks
 
 </li>
 <li>
 Flag non-compliance and recommend actions to strengthen the feedback culture
 
 
 </li>
 </ul>
 &nbsp;
 
 3. Advanced Data Analytics, Dashboarding &amp; Reporting
 
 
 <ul>
 <li>
 Build and maintain Power BI dashboards integrating core HR metrics (performance, feedback, attrition, promotions, headcount)
 
 </li>
 <li>
 Create DAX measures and KPIs to support real-time monitoring
 
 </li>
 <li>
 Cleanse, transform, and validate HR data to maintain high data quality
 
 </li>
 <li>
 Use advanced Excel (pivot tables, XLOOKUP, dynamic arrays, Power Query) for ad-hoc analyses
 
 
 </li>
 </ul>
 
 &nbsp;4. HR Technology &amp; Systems Management
 
 
 <ul>
 <li>
 Act as functional administrator for talent management platforms (data uploads, configuration, access)
 
 </li>
 <li>
 Support testing and rollout of HR technology modules and integrations
 
 
 </li>
 </ul>
 
 &nbsp;5. Change Management &amp; Strategic Communications
 
 
 <ul>
 <li>
 Develop concise decks and updates that translate analytics into clear messages for stakeholders
 
 </li>
 <li>
 Prepare visual and infographic summaries for leadership forums and firm-wide communications
 
 </li>
 <li>
 Coordinate with Communications to ensure timely and consistent messaging on performance cycles, feedback, and HC programs
 
 </li>
 <li>
 Collaborating with Departmental leads to run the entire Performance Cycle
 
 </li>
 <li>
 Need exceptional communication and stakeholder management skills
 
 </li>
 <li>
 Be the primary point of contact for stakeholders during the execution of different stages of performance cycle
 
 
 
 
 </li>
 </ul>
 
 Educational Requirements:
 
 Bachelor's degree in Human Resources, Business Analytics, Business Administration, or a related discipline
 
 
 
 Experience Required:
 
 2.5&ndash;4 years of progressive experience in HR analytics, people operations, or performance management functions
 
 
 
 Technical Tools and Knowledge:
 
 Advanced proficiency in Power BI (including DAX and data modeling), Microsoft Excel (Advanced), Power Query, and talent management systems&nbsp;(TMS)
 
 
 Additional Skills:
 
 <ul>
 <li>
 Experience building dashboards and delivering actionable workforce insights
 
 </li>
 <li>
 Strong written and verbal communication skills for technical and non-technical audiences
 
 </li>
 <li>
 Exposure to performance management systems, feedback platforms, or talent tools in a corporate or professional services environment
 
 </li>
 <li>
 Strong analytical thinking and problem-solving
 
 </li>
 <li>
 Effective stakeholder management
 
 </li>
 <li>
 High attention to detail and data accuracy
 
 
 
 </li>
 </ul>
 PwC A.F. Ferguson &amp; Co. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Alteryx (Automation Platform), Analytical Thinking, Communication, Creativity, Data Analytics, Data Cleaning, Data-Driven Decision Making (DIDM), Data Entry, Data Integration, Data Migration, Data Quality, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Human Resources (HR) Consulting, Human Resources (HR) Metrics, Human Resources (HR) Project Management, Human Resources (HR) Report, Human Resources (HR) Technology Solution Architecture, Human Resources Information System (HRIS), Human Resources Management (HRM) {+ 18 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Associate I – People Analytics (Performance & Feedback)

Pella

<div>Associate Data Engineer
Urbandale, IA (hybrid)
The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.
This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.
In this role, you will:
<ul><li>Design, build, and maintain data pipelines that ingest data from digital, marketing, and enterprise systems into analytics platforms.
</li><li>Develop and manage data models that support analytics, reporting, and downstream use cases across Digital, Marketing, and Pro CX teams.
</li><li>Work closely with analysts, data scientists, and business partners to translate analytical requirements into scalable data solutions.
</li><li>Implement data transformations, validations, and quality checks to ensure data is accurate, consistent, and production-ready.
</li><li>Support analytics use cases by making data easily consumable for BI tools, dashboards, and advanced analytics.
</li><li>Partner with technology teams and vendors to integrate new data sources and evolve existing pipelines.
</li><li>Document data pipelines, models, definitions, and lineage to support data governance and reuse across the organization.
</li><li>Contribute to the ongoing improvement of Pella&rsquo;s analytics infrastructure, standards, and best practices.
</li>Assist in enabling the Digital, Marketing, and Pro CX teams by ensuring analytics data aligns with customer journeys, digital tools, and measurement frameworks. 
<li>
</li></ul>Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience
<ul><li>3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
</li><li>Strong experience working with BigQuery or comparable cloud data warehouse technologies.
</li><li>Proficiency in Python for data transformation, automation, and pipeline development.
</li><li>Working knowledge of R for analytical or statistical workflows is preferred.
</li><li>Strong SQL skills, including complex joins, aggregations, and performance optimization.
</li><li>Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
</li><li>Experience supporting analytics and BI tools such as Looker Studio and Power BI.
</li><li>Understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
</li><li>Experience collaborating with analysts and stakeholders to support data-driven decision-making.
</li>Ability to clearly communicate technical concepts to both technical and non-technical audiences. 
<li>
</li></ul>Preferred Experience
<ul><li>Experience with Google Analytics, Google Tag Manager, Salesforce, Fullstory, and other digital or customer data platforms.
</li><li>Familiarity with data governance, documentation, and metadata management.
</li><li>Exposure to cloud-based data ecosystems and modern analytics architectures.
</li><li>Experience supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.</li></ul></div>

Associate Data Engineer

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