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Product Manager Data Analytics Jobs (NOW HIRING)

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

... production issues * Ask questions to determine the cause and business impacts of issues that are ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

... production issues * Ask questions to determine the cause and business impacts of issues that are ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

They are seeking an experienced Data & Analytics Manager to oversee projects that drive better data ... Products industries • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Experience in Media & Entertainment and/or Consumer Products industries * Experience at a large ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

Product Manager - Data and Analytics About the company Sample6 Technologies is a spinout of MIT and Boston University, situated at the intersection of synthetic biology, sensor technology and cloud ...

As Senior Manager - Data Analytics on the ARC team, you will operate at the intersection of data analytics, audit context, and business intuition. You will analyze large, fragmented datasets to ...

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Product Manager Data Analytics information

See salary details

$51.5K

$159.4K

$197K

How much do product manager data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for product manager data analytics in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Manager in Data Analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

How does a Product Manager in Data Analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

What are Product Manager Data Analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.
More about Product Manager Data Analytics jobs
What cities are hiring for Product Manager Data Analytics jobs? Cities with the most Product Manager Data Analytics job openings:
What states have the most Product Manager Data Analytics jobs? States with the most job openings for Product Manager Data Analytics jobs include:
Manager, Data Analytics

Manager, Data Analytics

Oscar Health

Dallas, TX • On-site

$111K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th of 281 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Analytics Manager to join our Operations Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.
About the role:
The Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping & execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.
Work Location: This position is based in our Dallas, TX office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid
Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.
Responsibilities:
  • Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues
  • Ask questions to determine the cause and business impacts of issues that are raised surrounding our data
  • Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
  • Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
  • Identify opportunities to create models and tools that improve processes and overall improve efficiency
  • Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact
  • Support other projects as assigned to meet our needs
  • Lead a team of data analysts
  • Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED)
  • Other duties as assigned (DO NOT REMOVE - REQUIRED)

Requirements:
  • 4+ years of technical work experience using analytical tools and writing analytical reports
  • 4+ years in a client-facing role with experience managing issues externally
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • 5+ examples/projects of experience communicating updates and resolutions to customers and other partners, around business reporting impact and requirements
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience in healthcare, finance or the insurance industry

Bonus points:
  • 2+ years experience in preparing healthcare analytics, reporting, and data management
  • Experience with ticketing system (such as Jira)
  • Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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