Staff Data Analyst

Boulevard

48d•Remote

About The Position

Boulevard is seeking a Lead/Staff Product Analyst to establish and lead the Product Intelligence function. This role involves translating complex datasets into actionable product insights, defining analytical strategies, and building the necessary infrastructure. The ideal candidate is experienced in data analytics, comfortable with ambiguity, and possesses a team-building mindset to create scalable processes from the outset. This is a foundational role that will significantly influence Boulevard's product decision-making for years to come.

Requirements

8+ years of experience in data or product analytics in a B2B SaaS or high-growth technology environment, with experience 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 (event schemas, tracking plans, data capture).
Expertise in building dashboards and visualizations using platforms like Sigma, Looker, or Tableau.
Significant experience working directly with product managers and leaders to translate data findings into actionable opportunities.
Demonstrated ability to design and execute deep-dive analyses across the product lifecycle.
Clear, confident communication skills with stakeholders at all levels.
High level of ownership, ability to manage projects end-to-end, navigate ambiguity, and build scalable processes.
Proven track record of partnering cross-functionally and influencing leadership decisions with product data.

Nice To Haves

Experience evaluating or implementing product analytics tooling such as Amplitude, Mixpanel, or similar platforms.

Responsibilities

Build Boulevard’s product data foundation by defining data capture needs and designing models in partnership with data engineering.
Develop data-driven recommendations for product strategy and action through compelling data storytelling and visualizations.
Create scalable, self-serve dashboards to empower teams and foster a data-driven culture.
Conduct deep-dive and exploratory analyses on customer behavior and product usage (e.g., funnel analysis, retention, cohort behavior, feature adoption).
Act as a liaison between product data and the broader organization, ensuring insights influence cross-functional decisions.
Establish team processes and analytical workflows for data accuracy and scalability.
Advocate for necessary tooling investments for the team.