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Analytics Product Owner Jobs (NOW HIRING)

Programmers.io

Product Owner

San Antonio, TX · On-site

Primary Skill Product Owner in Data AnalyticsSecondary Skill Snowflake|Channel analytics|Python 7 + yrs of experience in Product Owner with Data and analytics Experience. Desirable Skills: Keyword:

Workday, Inc.

GTM Analytics Product Owner

Pleasanton, CA · On-site

$196K - $294K/yr

About the Role As a GTM Analytics Product Manager, you own the strategic delivery of a mission-critical product portfolio within ED&A. You are accountable for the long-term success of Workday's data ...

Workday

GTM Analytics Product Owner

Atlanta, GA

$196K - $294K/yr

About the Role As a GTM Analytics Product Manager, you own the strategic delivery of a mission-critical product portfolio within ED&A. You are accountable for the long-term success of Workday's data ...

Workday

GTM Analytics Product Owner

Pleasanton, CA

$196K - $294K/yr

About the Role As a GTM Analytics Product Manager, you own the strategic delivery of a mission-critical product portfolio within ED&A. You are accountable for the long-term success of Workday's data ...

MiniMed

Finance Analytics Product Owner (Operations)

Los Angeles, CA · On-site +1

$87K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a hands-on Finance Analytics Product Owner (Operations) to build and evolve our Operations Finance reporting and performance management ecosystem. This is a builder role ...

MiniMed

Finance Analytics Product Owner (Operations)

Minneapolis, MN · On-site +1

$87K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a hands-on Finance Analytics Product Owner (Operations) to build and evolve our Operations Finance reporting and performance management ecosystem. This is a builder role ...

MiniMed

Finance Analytics Product Owner (Operations)

Los Angeles, CA · On-site

$87K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a hands-on Finance Analytics Product Owner (Operations) to build and evolve our Operations Finance reporting and performance management ecosystem. This is a builder role ...

Chevron

Product Owner, Analytics

Houston, TX · On-site

Central Time Zone The Analytics Product Owner owns the business logic, metric definitions, and data product requirements for analytics solutions across Finished Lubricants, Chevron Texaco Rewards ...

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Analytics Product Owner information

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$41.5K

$112.9K

$164.5K

How much do analytics product owner jobs pay per year?

As of Aug 14, 2026, the average yearly pay for analytics product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

How does an analytics product owner typically collaborate with data science and engineering teams to deliver analytics solutions?

An Analytics Product Owner works closely with data science and engineering teams by clearly communicating business goals, prioritizing features, and translating stakeholder needs into actionable requirements. They facilitate regular meetings to ensure alignment, remove roadblocks, and make key decisions on product direction. This role often acts as a bridge, ensuring technical feasibility matches business value, and helps teams iterate quickly by providing continuous feedback and clarifying priorities. Effective collaboration helps deliver analytics solutions that are both technically robust and aligned with organizational objectives.

What are the key skills and qualifications needed to thrive as an analytics product owner, and why are they important?

To thrive as an Analytics Product Owner, you need a solid understanding of data analysis, product management principles, and business strategy, often supported by a degree in business, analytics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), agile methodologies, and analytics platforms is typically required, and certifications like Certified Scrum Product Owner (CSPO) can be advantageous. Strong communication, stakeholder management, and problem-solving skills help bridge technical teams and business objectives. These skills are crucial to ensure data-driven product development aligns with organizational goals and delivers actionable insights.

What is the difference between Analytics Product Owner vs Data Analyst?

AspectAnalytics Product OwnerData Analyst
Primary FocusManaging analytics products, defining requirements, and aligning analytics initiatives with business goalsAnalyzing data sets to generate reports and insights for decision-making
Skills & CertificationsProduct management, analytics tools, stakeholder communication, certifications like CBAP or PMI-PBAData analysis, SQL, Excel, visualization tools, certifications like CAP or Microsoft Data Analyst
Work EnvironmentCross-functional teams, product management, business unitsData teams, business units, reporting environments
Industry UsageTech, finance, retail, healthcareFinance, marketing, operations, research

The Analytics Product Owner focuses on managing analytics products and aligning them with business strategies, requiring product management skills and stakeholder engagement. In contrast, Data Analysts primarily analyze data to produce reports and insights. Both roles often work within similar industries but serve different functions within analytics teams.

What is an analytics product owner?

An Analytics Product Owner is a professional responsible for defining and prioritizing the development of analytics products or features within an organization. They act as a bridge between business stakeholders and analytics or data science teams, ensuring that analytics solutions align with business goals. Their key duties include gathering requirements, managing product backlogs, and making decisions about product features and releases. Analytics Product Owners use their understanding of data and analytics to maximize the value delivered by their teams. They play a crucial role in driving data-driven decision-making across the business.
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Analytics Product Owner jobs near you
Infographic showing various Analytics Product Owner job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Business Analytics Product Owner

Texas Capital

Richardson, TX • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Texas Capital Bank is dedicated to helping businesses and their leaders succeed through expert financial services. The Business Analytics Product Owner will support the development of analytics solutions for the Finance & Risk pod, focusing on translating business problems into analytical products that drive executive decision-making.
Responsibilities:
• Lead the development and execution of the Finance & Risk analytics roadmap; contribute to prioritization decisions and help translate requirements into technical specifications with stakeholders and data engineers
• Develop analytics applications in Streamlit, Posit, and our existing BI platforms; own the full lifecycle from requirements to production deployment and ongoing iteration
• Write SQL and Python for business logic, measures, and semantic layer definitions that drive accuracy, consistency, and strong performance
• Validate that data engineering output meets business needs; provide actionable feedback on data freshness, accuracy, completeness and overall usability
• Gather requirements from Finance & Risk teams; present findings to executive leadership with a clear articulation of business impact and decision implications
• Explore and pilot agentic AI use cases for Finance & Risk analytics; identify opportunities where AI can augment human analysis, improve efficiency, or create new business value
Qualifications:
Required:
• 5+ years of hands‑on experience in analytics, analytics engineering, BI development, or data science experience (or equivalent practical experience)
• Advanced SQL (e.g., CTEs, window functions, performance tuning) and Python for data manipulation (pandas/NumPy), with clean, version‑controlled code (git workflows)
• Strong understanding of dimensional modeling concepts (e.g., star schemas, conformed dimensions, and SCD handling) and the ability to apply these principles when defining business logic, metrics, and semantic layers (hands‑on model development is helpful but not required)
• Experience with Snowflake or another modern cloud data warehouse, with willingness to deepen Snowflake expertise
• Interactive dashboard development in a modern BI platform (Power BI, Sigma, Looker, or similar), with attention to usability and performance
• Strong communication and cross‑functional collaboration skills, including the ability to translate between business needs and technical implementation
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
Preferred:
• Analytics application development in Streamlit or Posit (or strong Python fundamentals with willingness to learn quickly)
• Familiarity with Finance & Risk domains (e.g., financial reporting/GL, budgeting & forecasting, or risk analytics)
• Exposure to agentic AI or LLM‑powered analytics
• Experience with predictive modeling, time‑series analysis, or statistical techniques
• Comfort with agile development practices, code reviews, and iterative product delivery
• Experience presenting to senior leadership (C‑suite exposure a plus)
Company:
Since our founding in 1998, Texas Capital remains impassioned by the spirit of entrepreneurship and innovation. Founded in 1998, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Texas Capital Bank logo

About Texas Capital Bank

Sourced by ZipRecruiter

Texas Capital Bank is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big banks at a scale that makes sense for our clients, with highly experienced bankers who truly invest in people's success -- today and tomorrow.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

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