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Product Manager Data Analytics Jobs in Pullman, WA

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ... Prior experience in product management, engineering, or a fast-moving startup role is highly ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ... Prior experience in product management, engineering, or a fast-moving startup role is highly ...

Suggest new product development priorities for Wdesk after gathering market data * Analyze use of ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

Suggest new product development priorities for Wdesk after gathering market data * Analyze use of ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

... Product Manager Location Moscow Division/College Information Technology Services Department ... You have strong communication, analytical, and problem-solving skills, especially when it comes to ...

Degree in analytics, data science, economics, statistics, or a related field, or equivalent ... Ability to manage multiple analytical workstream components with strong attention to detail and ...

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Product Manager Data Analytics information

See Pullman, WA salary details

$50.3K

$155.7K

$192.5K

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

As of Aug 31, 2026, the average yearly pay for product manager data analytics in Pullman, WA is $155,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,800.00 and $192,500.00 per year, depending on experience, location, and employer.

What is a 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.

How does a product manager 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 are the key skills and qualifications needed to thrive as a product manager 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.

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.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

What cities near Pullman, WA are hiring for Product Manager Data Analytics jobs?

Cities near Pullman, WA with the most Product Manager Data Analytics job openings:

Infographic showing various Product Manager Data Analytics job openings in Pullman, WA as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $155,744 per year, or $74.9 per hour.

Associate Product Manager (Data) - 1072

Moscow, ID โ€ข On-site

Full-time

Posted 14 days ago


Job description

As an Associate Product Manager (Data), you will support the delivery of customer-facing data products. Working closely with Engineering, Data, Legal, Security, and GTM teams, you will support product execution, data platform operations, governance, and launches to ensure Lightcast data is reliable, compliant, and easy for customers to access and use. This early-career role is designed for someone looking to build technical product management expertise and grow into increased ownership over time.
Lightcast does not offer visa sponsorship now or in the future.
Candidates must be authorized to work in the
United States without sponsorship
Major Responsibilities:
  • Build an understanding of customer use cases, Lightcast data products, platform integrations, and how customers consume and share data
  • Support backlog management by translating requirements into epics, user stories, and acceptance criteria and helping engineering teams deliver against roadmap commitments
  • Support data contracts, including schemas, versioning, deprecation processes, and customer migration paths
  • Monitor data quality, including freshness, null values, and duplicates, and help resolve issues that impact reliability
  • Support product launches through changelogs, migration notes, documentation, internal enablement, incident triage, and root cause analysis (RCA)
  • Support product launches by contributing to changelogs, migration notes, documentation, and internal enablement
  • Help monitor data quality and flag issues with freshness, null values, and duplicates, ensuring high standards of customer reliability and trust.

Education and Experience:
  • 1-2 years of experience in product, data, analytics, or a related field
  • Exposure to modern data platforms such as Snowflake, Databricks, or BigQuery, including sharing models, permissions, or listings
  • SQL and modern data concepts
  • Familiarity with data quality, governance, and security concepts
  • Experience with agile methodologies, backlog management, and roadmap execution
  • Strong technical writing skills, including experience developing user stories, acceptance criteria, and product documentation
  • Excellent written and verbal communication skills
  • Ability to collaborate effectively across Engineering, Data, Legal, Security, and GTM teams
  • Interest in building reliable, user-friendly data products and developing technical product management expertise

Lightcast is a global leader in labor market insights, with headquarters in Moscow, ID (US) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.