Staff Data Analyst, Boulevard

• 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 — you’ve built the foundation, not just worked on top of one someone else laid. Act Like an Owner
• Fluency with data analysis and BI tools: SQL, Python, Snowflake, and Sigma; strong proficiency with data modeling. Know Your Sh*t
• 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 — with a track record of creating self-serve tools that teams actually use
• 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 — translating statistical findings into clear, decision-ready narratives for product and leadership audiences
• Clear, confident communication with stakeholders at any level — you can build a narrative that lands with a PM or the executive team, and you deliver it with the kind of presence that builds trust. Show Up With Style
• High level of ownership with a demonstrated ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build processes that scale — comfortable thriving in fast-paced, dynamic environments with multiple competing priorities. Make an Impact
• Proven track record of partnering cross-functionally and using product data to influence leadership decisions and outcomes — whether shaping go-to-market strategy, informing customer success priorities, or driving alignment across teams; you earn trust by being direct, generous with knowledge, and consistent in how you show up

Desirable

• Boulevard is the client experience platform purpose-built for salons, spas, medspas, and wellness businesses
• More than 5,000 businesses use Boulevard to manage scheduling, payments, marketing, and client relationships — processing over $5 billion in payments annually
• We’ve raised $188M in funding and are growing fast, particularly as we expand upmarket into multi-location and franchise operators
• We’re looking for a Lead/Staff Product Analyst to build Boulevard’s Product Intelligence function and own its core responsibilities
• You are deeply experienced in data and analytics, and passionate about translating complex datasets into compelling product stories — the kind that clarify what’s happening, explain why it matters, and make clear what to do next
• You know what good looks like, you hold yourself and your work to that standard, and you don’t wait to be asked before surfacing what matters
• This role requires someone who is genuinely energized by ambiguity
• There is no well-worn path to follow, you’ll be defining the questions, building the infrastructure to answer them, and charting the course forward — often without perfect information
• That’s not a warning; for the right person, it’s the whole appeal
• You operate with the mindset of a team builder — creating processes, documenting best practices, and working with the structure and rigor that makes this function scalable from day one
• 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