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The Analytics Product Owner owns the vision, prioritization, and delivery of analytics products that enable data‑driven decision‑making across the business. This role operates at the intersection of business, data, and technology—translating complex business needs into clear, actionable analytics work. You will own the analytics backlog end‑to‑end, facilitate agile execution, and ensure the analytics team is delivering high‑quality, trustworthy insights aligned with both strategic priorities and near‑term business needs. This role is ideal for someone who enjoys creating clarity, making trade‑offs, and helping analytics teams focus on outcomes—not just output.
Job Responsibility
Own and maintain the analytics product backlog, translating business objectives into well-defined user stories with clear acceptance criteria
Prioritize work based on business value, effort, and risk—balancing strategic initiatives with urgent business needs
Ensure all analytics work aligns with agreed-upon outcomes and stakeholder expectations
Lead agile ceremonies including daily stand-ups, backlog refinement, sprint planning, reviews, and retrospectives
Actively manage work in JIRA: ticket creation, prioritization, dependency tracking, and status updates
Monitor delivery timelines, manage trade-offs, and proactively communicate risks and progress to stakeholders and leadership
Partner closely with stakeholders across product, engineering, marketing, finance, and operations to gather requirements and set realistic expectations
Act as the primary point of contact for analytics requests, ensuring clarity before work enters the backlog
Translate technical progress into clear, business-friendly updates
Ensure analytics deliverables are accurate, documented, and usable by decision-makers
Remove blockers for the analytics team and facilitate smooth cross-functional communication
Drive continuous improvement in analytics workflows, documentation, and agile practices
Perform occasional light technical tasks such as simple dashboard updates using existing data models
Requirements
Proven experience as a Product Owner, Analytics Product Manager, or Project Manager in an analytics, data, or SaaS environment
Strong experience running agile ceremonies and managing delivery for analytics or data teams
Hands-on experience managing complex backlogs and cross-team dependencies in JIRA
Ability to write clear, actionable user stories and acceptance criteria for analytics and data work
Solid understanding of analytics concepts such as dashboards, reporting, metrics, and data pipelines
Experience making prioritization decisions with incomplete or evolving information
Excellent communication skills with both technical and non-technical stakeholders
Basic experience modifying dashboards in Power BI or a comparable BI tool using pre-built data models
English proficiency: TOEFL (or equivalent) ≥ 90
Nice to have
Experience working closely with data analysts, data engineers, and data scientists
SaaS or technology business analytics experience
Familiarity with Databricks
Familiarity with secure software development practices
Experience using Git (any platform)
Experience in scaled agile or multi-team environments
Background in product management or data-driven organizations
Prior experience working with a US-based technology company or startup