VP of Analytics, Insights, and Data Products

Data AnalystData AnalystFull TimeRemoteLeadTeam 11-50Since 1989H1B No SponsorCompany SiteLinkedIn

Location

Michigan

Posted

2 days ago

Salary

0

Seniority

Lead

Bachelor Degree10 yrs expEnglishPythonSQLTableau

Job Description

VP of Analytics, Insights, and Data Products

GOODYEAR & GOODYEAR, INC.

• Lead the design and implementation of robust data infrastructure to support analytics and business intelligence • Manage database engineering efforts to optimize data storage and retrieval • Ensure effective data warehousing solutions that support efficient data management and reporting • Drive the creation of high-value assets that support strategic decision-making • Develop and manage customer data platforms to capture and analyze customer behavior and preferences • Oversee consumer segmentation efforts to identify and target key audience segments • Lead efforts to identify consumer trends and behaviors to inform product development and marketing strategies • Develop and refine target audience profiles to enhance marketing effectiveness • Leverage propensity modelling to predict customer behavior in the purchase funnel and optimize marketing efforts • Conduct and oversee first-party custom research to gather unique consumer insights • Translate data into actionable customer insights to drive business growth and customer satisfaction • Oversee website analytics to optimize online user experience and engagement • Develop and implement marketing mix models to evaluate and optimize marketing investments • Utilize predictive analytics to forecast marketing outcomes and inform strategy • Lead advanced marketing attribution efforts to accurately measure the impact of marketing activities • Analyze commercial performance data to identify opportunities for growth and improvement • Define brand equity and strength • Oversee network analytics to optimize distribution and operational efficiency • Lead product analytics efforts to inform product development and lifecycle management • Utilize financial analytics to support budgeting, forecasting, and financial planning.

Job Requirements

  • Bachelor’s degree in Business Administration, Applied Economics, Data Engineering, Data Science, Mathematics, or related field; Advanced Degree Preferred
  • Minimum of 10 years of experience in data, analytics, and insights, with experience leading large, multi-functional teams
  • Proven track record of developing and implementing successful data and analytics strategies in a global organization
  • Experience in the manufacturing or automotive industry is a plus
  • Expertise in advanced analytics, data science, machine learning, and AI
  • Proficiency with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI)
  • Demonstrated ability using Monte Carlo simulations, Real Options, Simulations leveraging a Digital Twin, Causal inference, Bayesian Decision Analysis
  • Strong understanding of data management, data governance, and data architecture
  • Exceptional leadership and team management capabilities
  • Ability to influence and collaborate with senior executives and cross-functional teams
  • Strong problem-solving skills and a strategic mindset
  • Excellent verbal and written communication skills
  • Ability to present complex analytical concepts to non-technical stakeholders.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off

Related Categories

Related Job Pages

More Data Analyst Jobs

Full TimeRemoteTeam 10,001+Since 1962H1B Sponsor

• transform HR and workforce data into strategic insights • design and deliver advanced dashboards, reports, and data solutions • partner with HR leadership to define workforce metrics • support project delivery through high‑quality business analysis • analyze and implement improvement initiatives • coach less experienced team members • troubleshoot data and system issues

Illinois
$75K - $105K / year
Cohere Health logo

Senior Data Integration Analyst

Cohere Health

Cohere Health is a Software-as-a-Service (SaaS) company focused on improving the patient journey by enhancing the quality of care at lower costs, as well as emp

Data Analyst2 days ago
Full TimeRemoteTeam 900Since 2019

Opportunity Overview: We're looking for a Senior Data Integration Analyst to join our Payment Integrity team. In this role, you'll design and validate data mapping solutions, ensure data quality across products and systems, investigate complex data issues, and support data integration and transformation efforts that power our payment integrity solutions. As a senior member of the team, you'll serve as a subject matter expert, mentoring other analysts, promoting best practices, and partnering with business and technical stakeholders to deliver accurate, scalable data solutions. This is an opportunity to combine your healthcare and data expertise to build innovative solutions that improve accuracy, efficiency, and financial outcomes for our clients. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: - Design, implement, and validate data mapping, transformation, and integration solutions across multiple systems and data sources. - Investigate and resolve complex data quality, mapping, and integration issues while ensuring data accuracy and integrity through testing and validation. - Partner with business and technical stakeholders to translate requirements into scalable data solutions. - Create and maintain mapping specifications, technical documentation, and other resources that support data governance and operational excellence. - Identify opportunities to improve data quality, automate processes, and drive operational efficiency. - Serve as a subject matter expert by mentoring analysts, developing training materials, and promoting best practices across the team. What you’ll need: - Bachelor's degree in a related field or equivalent professional experience. - 5+ years of experience in data mapping, data analysis, and data integration. - 3+ years of experience working with medical claims data required. - Experience with one or more programming languages, such as SQL, Python, PySpark, or Spark SQL. - Experience working with AWS and complex, multi-source data environments. - Strong understanding of database design, data relationships, transformation logic, and data quality principles. - Proven ability to troubleshoot complex data issues and deliver accurate, scalable solutions. - Strong analytical, communication, and collaboration skills, with the ability to work independently in a fast-paced environment. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $105,000 to $120,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Technical Discussion - Behavioral Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

United States
$105K - $120K / year
Optum logo

Director, Data Analytics - Remote

Optum

Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

Data Analyst2 days ago
Full TimeRemoteTeam 160,000Since 2011

Requisition Number: 2357013 We'll put you in the driver's seat on vital projects that have strategic importance to our mission of helping people lead healthier lives. Yes, we share a mission that inspires. We need your organizational talents and business discipline to help fuel ours. For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. The Lewin Group/OptumServe Consulting, a premier national health care and human services consulting and policy analysis firm with 50 years of experience, finds answers and solves problems for leading organizations in the public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Schedule: Monday - Friday, daylight hours in your time zone Primary Responsibilities: - Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models - Develop strategic working relationships with clients - Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs - Efficiently query large databases of healthcare claims and eligibility data - Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy - Mentor other staff to develop their technical and analytical problem-solving skills - Write detailed specifications and documentation of data processing and analytical steps - Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures - Maintain a consistently high degree of accuracy and attention to detail in all tasks - Work effectively and cooperatively as a member of a project team - Help to oversee adoption of artificial intelligence into technical activities You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 8+ years of experience using SQL, Python, R or SAS in a research, consulting, or business environment - 6+ years of experience working on federal health policy issues, including Medicare and Medicaid value-based payment, working in multiple areas serving as a subject matter expert - Experience working with Medicare or Medicaid healthcare claims and enrollment data - Experience working with and advising clients - Experience in managing personnel - Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) - Experience managing and working directly with teams operating in Snowflake and/or Databricks environments. - Experience incorporating AI into technical workflows. - Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients Preferred Qualifications: - Academic coursework in advanced statistics or econometric modeling - Experience supporting multi-year payment model implementation contracts - Experience leading statistical analysis to inform health policy - Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment - Experience working with Github - Familiarity with Medicare payment methodologies *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Virginia
$134.6K - $230.8K / year

Role Description Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product and cross-functional teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We're looking for a Finance Data Analyst to dig into our complex databases and look for the root cause of a problem. You'll design solutions by writing your own code to implement them. Up to shape what's next in finance? Let's get in touch. What you'll be doing - Building and adapting data models and ETL processes for regulatory reporting - Helping Product and Operations teams gain insights into customer behaviour - Translating complex requirements into clear, efficient data solutions - Maintaining and improving reporting infrastructure, ensuring accuracy, compliance, and high data quality - Working with Regulatory Reporting Managers and business teams to align on logic and data needs - Monitoring and improving data reliability, applying impeccable attention to detail - Setting up local regulatory reporting processes Qualifications - 5+ years of experience in an analytical role, creating impactful data-driven solutions - Fluency in English and Spanish - Solid SQL skills and an understanding of complex data systems - Experience with data architecture, ETL design, and pipelines - The ability to adjust data to strict regulatory specifications efficiently - Great collaboration skills to work with reporting managers and cross-functional teams - To be detail-oriented, quality-focused, and able to deliver under tight timeframes Nice to have - Knowledge of accounting or tax principles Important notice for candidates - Only apply through official Revolut channels. - We don't use any third-party services or platforms for our recruitment. - Always double-check the emails you receive. - Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. - We won't ask for payment or personal financial information during the hiring process. - If anyone does ask you for this, it's a scam. Report it immediately.

Argentina