Data Analyst (f/d/m)

This is femtasy femtasy is the audio-only streaming platform for sensual audio stories & sexy sounds for women. We inspire women to explore and enjoy on their own terms. We're a female-centric product, led by a female CEO & Founder, with over 90% of our team identifying as women+. We've already positively impacted the lives of hundreds of thousands of women by redefining female pleasure – and we're just getting started. Your mission and your impact: Today, all data requests from Marketing (our principal stakeholder), Product, and Finance funnel through our Head of Data, who scopes every ask before an external agency executes it. That doesn't scale. You'll be the first internal hire to change that: sitting directly with stakeholders, turning vague requests into well-defined problems, and delivering a good-enough solution fast. You'll report to the Head of Data and work alongside an Analytics Engineer who owns the heavier dbt/pipeline work. Six months in, this is what your impact looks like: you run scoping conversations with Marketing especially, but also Product and Finance independently – no pre-framing needed from your Head of Data. You own the fact tables and models behind your recurring reporting. You've proactively fixed or flagged at least one foundational data issue – because you saw it, not because someone asked. Stakeholders treat you as a go-to resource, not a ticket-taker. What you'll do Own first-line scoping conversations with Marketing, Product, and Finance: ask the right clarifying questions, push back on vague or over-scoped requests, and land on a defined problem plus a good-enough solution. Come up with your own solution after aligned with stakeholders, maximizing the impact and keeping the development time as short as possible. Build and maintain the dashboards and reports (Tableau today, tool-agnostic long term) that Marketing, Product, and Finance can actually act on. Build and manage data in dbt: create and maintain the fact tables and models that support your recurring reporting and analyses, with our Analytics Engineer supporting the underlying infrastructure. Own the day-to-day reliability of what you build: catch issues, flag or fix them – so no one ever has to ask »which number is right«. Question the status quo at the working level. If something's »always been done that way« and it's slowing a team down, we want you to say so and to work with your Head of Data on what's worth fixing. What you bring 3+ years of experience in a data analyst, business analyst, or similar analytics role: you can work independently on well-scoped problems and know when to ask for help on ambiguous ones. Proven stakeholder-facing judgment. You've sat in front of a non-technical stakeholder with a vague ask, asked the right questions, and resisted both over-engineering the answer and under-scoping it. You frame problems clearly, communicate directly, and challenge assumptions. Solid SQL, dbt, and…