analytics leader

Lucent Health Solutions

<div>About Lucent Health
Lucent Health combines top-tier claims management with a compassionate, human-focused, data-driven care management solution. This approach helps self-insured employers provide care management that enables health plan participants to make smarter, cost-saving healthcare decisions. Continuous data analytics offer ongoing insights, ensuring participants receive the right care, at the right cost, at the right time. Join us as we build a company that aims to be a better health benefits partner for self-insured employers.
Company Culture
We believe that the success of Lucent Health relies on having employees who are honest, ethical and hardworking. These values are the foundation of Lucent Health.
Honest<ul><li>
Transparent Communication: be open and clear in all interactions without withholding crucial information</li><li>
Integrity: ensure accuracy in reporting, work outputs and any tasks assigned</li><li>
Truthfulness: provide honest feedback and report any issues or challenges as they arise</li><li>
Trustworthiness: build and maintain trust by consistently demonstrating reliable behavior</li></ul>
Ethical<ul><li>
Fair Decision Making: ensure all actions and decisions respect company policies and values</li><li>
Accountability: own up to mistakes and take responsibility for rectifying them</li><li>
Respect: treat colleagues, clients and partners with fairness and dignity</li><li>
Confidentiality: safeguard sensitive information and avoid conflicts of interest</li></ul>
Hardworking<ul><li>
Consistency: meet or exceed deadlines, maintaining high productivity levels</li><li>
Proactiveness: take initiative to tackle challenges without waiting to be asked</li><li>
Willingness: voluntarily offer to assist in additional projects or tasks when needed</li><li>
Adaptability: work efficiently under pressure or in changing environments</li></ul>
Summary
The Analytics Consultant is responsible for delivering accurate, insightful, and meaningful reporting for all Lucent Health clients through the organization&rsquo;s analytics platform (Cedar Gate). This role owns and ensures the accuracy, integrity, and consistency of data across the Cedar Gate tool and throughout the Lucent Health Book of Business. The Analytics Consultant also provides direct support and collaboration with Client Services team to ensure all client reporting needs are met with precision and excellence.
Responsibilities:<ul><li>
Own and oversee all client-facing reporting within the Cedar Gate platform, ensuring accuracy, consistency, and reliability across the entire Lucent Health book of business.</li><li>
Coordinate and collaborate with Cedar Gate and other external vendors to ensure all reporting requirements are effectively met.</li><li>
Maintain data integrity and accuracy across Lucent Health&rsquo;s analytics platforms byleveragingtools such as SQL, Power BI, and Cedar Gate to deliver consistent, high-quality reporting.</li><li>
Partner closely with the Client Services team to ensure client reporting needs are met ina timelyand effective manner.</li><li>
Provide consultative support to clients and Client Servicesregardingthe reporting platform, including interpreting data to inform and support strategic decision-making.</li><li>
Deliver training and educational support to the Client Services team to enhanceproficiencyand confidence inutilizingclient-facing reporting tools and insights.</li><li>
Serve as the primary point of contact for the Client Services team, ensuring accountability and performance aligned with Lucent Health&rsquo;s operational and reporting standards.</li><li>
Support Client Services and the Chief Client Service Leader withadditionalreporting requirements as needed.</li><li>
Perform other duties and specialprojects asassigned by leadership.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
2-4 Years of experiencein healthcare analytics and reporting</li><li>
2-4 Years of experience in data quality</li><li>
3-6 Years of experience working with health care claims data</li></ul>
Equal Employment Opportunity Policy Statement
Lucent Health is an Equal Opportunity Employer that does not discriminate based on actual or perceived race, color, creed, religion, alienage or national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity, gender expression, transgender status, sexual orientation, marital status, military service and veteran status.</div>

Analytics Consultant

Philip Morris International U.S.

<div><div>Director Data Science and Advanced Analytics &ndash; Stamford, CT</div><div> 
Be a part of a revolutionary change!</div><div> 
At Philip Morris International (PMI), we&rsquo;ve chosen to do something incredible. We&rsquo;re totally transforming our business and building our future on one clear purpose &ndash; to deliver a smoke-free future.</div><div> 
With huge change, comes huge opportunity. So, if you join us, you&rsquo;ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.</div><div> 
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.</div><div> 
Your &lsquo;day to day&rsquo;:</div><div>
The Director, Advanced Analytics will lead the strategy, execution, and adoption of advanced analytics across the enterprise, shaping how predictive analytics, machine learning, and AI are applied to drive growth, productivity, and operational excellence.<ul><li>
Advanced analytics strategy &amp; portfolio leadership. Own the advanced analytics portfolio and roadmap, defining a standardized approach to generating insights and decision products. Prioritize initiatives based on value, feasibility, and appropriate risk or regulatory considerations, partnering with business leaders on outcomes rather than just deliverables.</li><li>
Enterprise team leadership. Build, lead, and mentor a high‑performing team spanning data science, decision science, analytics engineering, and insight translation. Establish a culture of curiosity, accountability, and continuous learning with clear expectations and development paths.</li><li>
Solution delivery at scale. Lead the development and deployment of predictive models, machine‑learning solutions, and AI‑enabled analytics that improve decision quality, automation, forecasting, and personalization.</li><li>
Standardized ways of working. Establish consistent analytics and model lifecycle practices across experimentation, development, deployment, and monitoring. Where appropriate, leverage modern platforms and tooling (e.g., Databricks‑based workflows and MLOps practices) to ensure reproducibility, scalability, and reliability.</li><li>
Data foundations and enablement. Partner closely with Data Engineering, Data Architecture, and Data Product Management to ensure high‑quality, curated, and governed data and features are available to support advanced analytics and production use cases.</li><li>
Business partnership &amp; insight‑to‑action. Act as a senior advisor to stakeholders&mdash;translating ambiguous business questions into analytic hypotheses, measurement plans, and actionable recommendations. Embed enablement and change management to drive adoption.</li><li>
Model risk, governance, and responsible AI. Implement and uphold standards for model documentation, validation, explain-ability, fairness and bias considerations, monitoring, and value tracking in partnership with IT, Security, and Compliance.</li><li>
Value measurement and communication. Quantify business impact (e.g., revenue uplift, margin improvement, cost‑to‑serve reduction, forecast accuracy gains) and communicate outcomes clearly to executive and non‑technical audiences</li></ul></div><div> 
Who we&rsquo;re looking for:</div><div>
We&rsquo;re looking for a strategic advanced analytics leader with strong people leadership and practical technical grounding, capable of operating effectively in a large enterprise environment.<ul><li>
Legally authorized to work in the U.S.</li><li>
Commutable distance to Stamford, CT.</li><li>
10+ years of experience in analytics, data science, or decision science, with 5+ years leading teams and portfolios delivering production‑ready solutions.</li><li>
Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Economics, Operations Research, or a related field (Master&rsquo;s or PhD a plus).</li><li>
Proven track record delivering predictive analytics, ML, or AI solutions with measurable business impact.</li><li>
Strong people‑leadership capabilities, including hiring, mentoring, performance management, and team development.</li><li>
Solid hands‑on understanding of modern analytics and ML techniques, experimentation design, and measurement approaches; able to engage credibly with data scientists and engineers.</li><li>
Familiarity with modern analytics platforms and ecosystems (e.g., Databricks, Snowflake, cloud data platforms) and model operationalization practices (MLOps, CI/CD, monitoring).</li><li>
Experience establishing or maturing analytics standards, governance, and model lifecycle management practices.</li></ul></div><div> 
Annual Base Salary Range: $281,600 - $352,000</div><div> 
What we offer:<ul><li>
We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!</li><li>
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.</li><li>
Seize the freedom to define your future and ours. We&rsquo;ll empower you to take risks, experiment and explore.</li><li>
Be part of an inclusive, diverse culture where everyone&rsquo;s contribution is respected; Collaborate with some of the world&rsquo;s best people and feel like you belong.</li><li>
Pursue your ambitions and develop your skills with a global business &ndash; our staggering size and scale provides endless opportunities to progress.</li><li>
Take pride in delivering our promise to society: To improve the lives of millions of smokers</li></ul></div><div> 
PMI is an Equal Opportunity Employer.</div><div>
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.</div><div>
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI&rsquo;s affiliates first entered the U.S. market following the company&rsquo;s acquisition of Swedish Match in late 2022.</div><div>
Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match &ndash; a leader in oral nicotine delivery &ndash; creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI&rsquo;s IQOS electronically heated tobacco devices and Swedish Match&rsquo;s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.</div><div> 
#PMIUS #LI-LC1</div></div>

Director Data Science and Advanced Analytics

Goodyear

<div>The Analytics Manager leads the design and delivery of scalable data models, insights, and analytical solutions that support business decision-making across manufacturing and commercial functions. This role partners closely with business stakeholders, analytics, and engineering teams to translate complex needs into actionable insights, dashboards, and tools embedded in day-to-day workflows. The Analytics Manager drives adoption of data-driven solutions, ensures high standards for data quality and governance, and helps guide priorities by identifying opportunities where analytics can generate measurable business impact.
Why This Role Matters
<ul><li>Drives business impact through analytics by designing scalable data models and translating complex data into actionable insights that inform strategy, forecasting, pricing, demand, and performance decisions.
</li><li>Serves as a critical bridge between business and analytics teams, ensuring business needs are clearly defined, prioritized, and converted into effective, high-value analytical solutions.
</li><li>Enables data-driven decision-making at scale by embedding insights, KPIs, and dashboards into workflows, increasing adoption and influencing day-to-day and strategic decisions.
</li><li>Strengthens analytics maturity and trust by upholding data quality, governance, and best practices, while mentoring analysts and continuously improving analytics processes and capabilities.
</li></ul>What You Will Do
<ul><li>Lead the design, enhancement, and maintenance of scalable, business-aligned data models to support reporting, forecasting, and decision-making.
</li><li>Act as the primary liaison between business stakeholders and analytics/engineering teams, translating needs into well-defined, high-impact analytical solutions.
</li><li>Analyze complex datasets to identify trends, risks, and opportunities, linking insights directly to measurable business outcomes.
</li><li>Translate analytical outputs into actionable insights, dashboards, KPIs, and tools that are embedded into business workflows and drive adoption.
</li><li>Ensure strong data governance, accuracy, and quality by reinforcing analytics standards, validation processes, and best practices.
</li><li>Support capability building within the analytics function by mentoring analysts, sharing best practices, and driving continuous process and tool improvements.
</li></ul>What We&rsquo;re Looking For
<ul><li>Bachelors in analytics, data science, statistics, engineering, mathematics, or related field preferred.
 </li><li>7+ years&rsquo; experience in data analytics or related field; In lieu of degree, 12+ years&rsquo; experience in data analytics or related field.
</li><li>Demonstrated experience in data modeling and analytical frameworks, with the ability to translate complex business processes into scalable, analytics-driven solutions.
</li><li>Strong business and operational acumen, connecting enterprise strategy to analytics outcomes and manufacturing or operational performance.
</li><li>Hands-on proficiency with analytics and visualization tools, including SQL, Python, Tableau, and Power BI, to analyze complex datasets and communicate insights effectively.
</li><li>Proven ability to engage stakeholders, solve complex problems, and deliver high-quality analytics through strong governance, data standards, and best practices.
</li></ul>Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 51 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to Goodyear.com . 
 
If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500. 
 
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.</div>

Analytics Manager

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Do you love working with big data to derive new and actionable insights? Do you have a passion for Entertainment? If so, come join IMDb! With over 250 million monthly users, IMDb is the world's most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology, inside the world's most innovative and customer-centric company &mdash; Amazon. The data and insights our team provides power all IMDb properties and feeds directly into the Amazon flywheel. As IMDb employees, we enjoy the best of both worlds &mdash; all benefits and resources of Amazon with the autonomy and impact of a small, nimble team. 
 
IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader on our team, you will work closely with Product Managers, Finance Leaders, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, analytical rigor, and technical ability to develop innovative solutions to real-world problems. You will harness the power of AI to accelerate understanding and unlock key insights informing business strategy and investment. You will dive deep into existing and new data sources to create unique and actionable insights to best serve our diverse global population of entertainment fans, professionals, advertisers, contributors, and data licensees. 
 
Key job responsibilities 
<ul><li>Partner with cross-functional teams to solve complex business problems and deliver integrated data solutions that inform product investment and business strategy</li><li>Apply AI tools and techniques to accelerate analysis and deepen business understanding</li><li>Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions</li><li>Identify opportunities to improve or automate large-scale data analyses, statistics, and visualization solutions</li><li>Implement data quality processes to ensure accuracy, consistency, and reliability of BI systems</li><li>Build and manage weekly, monthly, and quarterly business review metrics</li><li>Lead BI projects independently end-to-end</li><li>Share your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussions</li></ul> 
About the team 
The IMDb Insights &amp; Analytics team mission is to empower our customers, both internal and external, with accurate, timely, and actionable data-driven insights that inform strategic decisions and enhance the customer experience. Our team of BIEs, Data Engineers, and Data Scientists owns analytics across all IMDb business lines, including global customer engagement, advertising performance, professional subscription services, and content coverage and quality. In addition to supporting the analytic needs of IMDb, our data solutions power a growing number of customer-facing experiences, leveraging IMDb's unique and valuable data to enrich the customer experience.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of processing large, multi-dimensional datasets from multiple sources experience</li><li>1+ years of performing statistical analysis experience</li><li>1+ years of developing automated reporting experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field</li><li>Demonstrable experience leveraging AI to accelerate insight generation</li><li>Excellent verbal and written communication skills, with the ability to convey key insights from complex analysis in summarized business terms, while also being able to effectively communicate with technical teams</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Monica - 99,500.00 - 160,000.00 USD annually 
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, IMDb

Duta Basis Technologies LLC

Job Title: Analytics ManagerAbout the RoleDuta Basis Technologies LLC is seeking a highly skilled Analytics Manager to lead data-driven decision-making across business operations. This is a high-impact role where you will transform raw data into strategic insights that guide executive decisions, improve operational efficiency, and drive business growth.If you are passionate about analytics, storytelling with data, and building scalable reporting systems&mdash;this role offers strong growth potential in a modern, tech-driven environment.Why This Role is Attractive<ul><li>Opportunity to build and lead analytics frameworks from the ground up</li><li>Direct influence on business strategy and executive decision-making</li><li>Exposure to modern BI tools, cloud platforms, and enterprise data systems</li><li>High-growth environment with autonomy and leadership visibility</li><li>Competitive compensation with performance-based growth opportunities</li></ul>Key Responsibilities<ul><li>Lead end-to-end data analytics strategy and reporting frameworks</li><li>Manage BI dashboards and data visualization tools (Power BI, Tableau, or similar)</li><li>Analyze large datasets to identify trends, risks, and business opportunities</li><li>Collaborate with leadership, finance, operations, and IT teams</li><li>Design KPI frameworks and performance tracking systems</li><li>Ensure data accuracy, integrity, and governance standards</li><li>Build and mentor a small analytics/data team (as company scales)</li><li>Translate complex data into clear business insights and presentations</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or related field</li><li>5+ years experience in data analytics, BI, or business intelligence roles</li><li>Strong experience with SQL and data visualization tools (Power BI / Tableau / Looker)</li><li>Experience with Excel advanced modeling and reporting</li><li>Understanding of data warehousing and ETL processes</li><li>Strong communication and presentation skills</li><li>Ability to work independently and handle multiple stakeholders</li></ul>Nice to Have:<ul><li>Experience in cloud platforms (AWS, Azure, or GCP)</li><li>Experience in Python or R for data analysis</li><li>Previous leadership or team management experience</li></ul>What We OfferWe believe in rewarding talent with meaningful growth opportunities and a supportive environment where your work truly matters.<ul><li>Competitive salary package (based on experience)</li><li>Performance-based bonuses</li><li>Career growth into Head of Analytics / Data Strategy roles</li><li>Exposure to international business operations</li><li>Supportive and collaborative work environment</li></ul>About the CompanyDuta Basis Technologies LLC is a growing technology and data-driven solutions company focused on building scalable systems, analytics capabilities, and digital transformation initiatives. We work with modern tools and methodologies to help organizations make smarter, faster decisions through data.How to ApplyIf you are ready to take ownership of impactful analytics work and grow into a leadership role, we would love to hear from you.Apply now with your CV and a brief summary of your analytics experience.Job Type: Full-timePay: RO1,800.000 - RO3,200.000 per monthWork Location: In person

Openkyber

<div>Position Title: Senior Analytics Engineer
Location: Remote
Position Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role focuses on translating and enhancing legacy SAS-based analytics into scalable, maintainable Python-based solutions. This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate combines strong analytical thinking, deep Python expertise, and the ability to interpret and refactor complex SAS logic while preserving business intent and output accuracy.
Key Responsibilities
<ul><li>Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and analytical procedures</li>
<li>Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic</li>
<li>Partner closely with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage</li>
<li>Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python</li>
<li>Improve and modernize analytics pipelines by simplifying logic and reducing technical debt</li>
<li>Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards</li>
<li>Document business logic, assumptions, and data transformations for long-term maintainability</li>
<li>Ensure accuracy and integrity of analytical outputs through thorough validation and testing</li>
</ul>Required Qualifications
<ul><li>Strong experience with Python for data analysis, including pandas, numpy, and SQL integration</li>
<li>Working knowledge of SAS, with the ability to confidently read and interpret existing SAS code</li>
<li>Experience translating or modernizing legacy analytics or reporting logic</li>
<li>Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics</li>
<li>Experience validating analytical outputs and ensuring data accuracy</li>
<li>Ability to collaborate with business users and translate analytical requirements into technical solutions</li>
</ul>Preferred Qualifications
<ul><li>Experience in healthcare, payer, or regulated data environments</li>
<li>Familiarity with SAS macros and common PROC workflows</li>
<li>Exposure to cloud-based analytics platforms or modern data stacks</li>
<li>Experience supporting Business Intelligence, reporting, or informatics teams</li>
<li>Background in analytics engineering or data transformation roles
</li></ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Analytics Cloud Engineer

The Home Depot

<div>Position Purpose: 
The role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing an organization that spans a wide-range of functional and technical skillsets. This role helps to drive analytical initiatives to tangible results meeting and exceeding the supply chain&rsquo;s operational and financial targets. The role requires considerable analytical and technical skills, ability to effectively describe those processes to leadership, and successfully drive implementation. The role requires strong partnership &amp; communication skills with operational teams. 
 
Key Responsibilities:<ul><li>
15% - Capital Planning - Establishes short and long range capital plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.</li><li>
20% - Implementation - Develops, plans and implements department's goals and objectives.</li><li>
15% - Problem Solving - Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.</li><li>
50% - Team Leadership - Manages, develops, and maintains a team dedicated to analytics projects throughout numerous elements of the supply chain.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Director Supply Chain Analytics.</li><li>
This role has 3 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Ability to develop and apply advanced mathematical/statistical techniques</li><li>
Ability to draw accurate conclusions from financial documentation</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Excellent written and verbal communication skills</li><li>
M.S. in Computer Science, Math, Engineering, supply chain or related quantitative field</li><li>
Work experience with SQL Server, Teradata, Oracle, or comparable database systems</li><li>
Expert knowledge in large scale information retrieval and statistical analysis</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
2</li></ul> 
Preferred Leadership Experience:<ul><li>
3</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Business Insights</li><li>
Builds Effective Teams</li><li>
Cultivates Innovation</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Connecting End to End Impacts</li><li>
Translating Complexity</li></ul></div>

Sr. Manager Data Analytics

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9457 analytics leader jobs Near Me

Analytics Consultant

Director Data Science and Advanced Analytics

Analytics Manager

Business Intelligence Engineer, IMDb

Analytics Manager

OCI Analytics Cloud Engineer

Sr. Manager Data Analytics