Staff Data Analyst - Product Intelligence

Remote - USAFull-TimeStaff

Salary122500 - 165500 USD per year

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Job Details

8+ years of proven experience in data or product analytics in a B2B SaaS or high-growth technology environment, with meaningful time spent in early-stage or low data-maturity environments
Fluency with data analysis and BI tools: SQL, Python, Snowflake, and Sigma
Strong proficiency with data modeling
Direct experience designing and executing product instrumentation strategies — defining event schemas, authoring tracking plans, and ensuring reliable data capture in partnership with product and engineering
Expertise in building dashboards and visualizations using platforms such as Sigma, Looker, Tableau, or similar
Significant experience working directly with product managers and leaders — translating data findings into actionable opportunities and tradeoffs that drive strategy and roadmap investment
Demonstrated ability to design and execute deep-dive analyses across the full product lifecycle — including funnel diagnostics, cohort and retention modeling, and behavioral segmentation
Clear, confident communication with stakeholders at any level
High level of ownership with a demonstrated ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build processes that scale
Proven track record of partnering cross-functionally and using product data to influence leadership decisions and outcomes

Build Boulevard’s product data foundation, partnering across the Product Development organization to define what needs to be captured and how, and designing the models that translate raw data into clean, reliable and scalable analysis-ready assets in partnership with data engineering
In tight partnership with Product, develop data-driven recommendations that inform strategy and drive action — through engaging narratives, effective data storytelling, and visualizations adapted to the audience, from individual contributors to executive leadership
Build scalable, intuitive and self-serve dashboards that empower teams and stakeholders to independently explore data and make informed strategic decisions; fostering a data-driven culture by educating and enabling stakeholders to interpret data and act on it with confidence
Own deep-dive and exploratory analyses that up-level understanding of customers and their relationship with the product (e.g. funnel analysis, retention curves, cohort behavior, feature adoption) — surface insights proactively and build analytical narratives that support strategic business cases and influence product direction
Be the bridge between product data and the broader organization — ensuring insights actively inform and influence cross-functional decisions and outcomes
Create team processes and analytical workflows that enforce data accuracy and scale as the function grows; advocate for the tooling investments the team requires

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