Data Engineer
Data Analyst (f/d/m)
Berlin
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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 hands-on comfort with a BI tool: you build and maintain your models yourself, from raw data to fact table to dashboard. Our Analytics Engineer supports you on infrastructure, but day-to-day dbt work is yours to own.
- Comfortable moving across domains. You won't own one fixed area – you will support Marketing and other stakeholders when needed.
- Opinionated but coachable. You're willing to challenge »it's always been like that«, and open to direct feedback.
- Fluent in English.
A strong plus, not a must
- You've worked with Marketing before (at least one real marketing project)
- You've experienced a startup environment
- You already use AI tools in your day-to-day analysis
This role is
hybrid, based in or around Berlin
. We're
in the office
together every
Tuesday and Wednesday,
with flexibility on the remaining days.
This is NOT for you if…
- You want every request fully pre-scoped before you touch it, rather than asking the clarifying questions yourself.
- You'd rather just execute the ticket than sit with a stakeholder and challenge whether it's the right ask.
- You reach for a dashboard or a data pull before you've actually understood the business problem behind it.
- You're not comfortable owning your models end-to-end in dbt, from raw data to the fact table to the final report.
- You see yourself as a data service desk instead of creating your own tickets after aligning with stakeholders.
What We Offer
🌟 Impact & purpose. The chance to join a huge mission around female empowerment and gender equality.
🦸 Female-led and women-centric. A female-centric product, a female CEO & Founder, and over 90% of our whole team identifies as women+.
🤝 Inspiring, performance-oriented culture. A progressive team culture based on transparency, open feedback, ownership, and collaboration. Check out »radical candor« if you want to learn more about how we work.
🤖 AI-first by default. A company-paid AI subscription of your choice, and a team that automates everything worth automating so you can focus on the work that matters.
📈 Personal and professional growth. Team learning sessions, learning & development budgets, and internal trainings. Every team member, from junior to C-level, has access to personal 1:1 sessions with a professional business coach.
🔄 Healthy approach to taking a break. 26 holidays plus unlimited recharging time on top for when you really need it.
📍 Flexibility. Flexible working hours, hybrid setup with our Berlin office as home base.
🎉 (Really cool) events & benefits like an Urban Sports membership (or alternative offerings), snacks & lunches, mobility and retirement plans, and our famous femtasy parties and team events. We also cook and eat together twice a month and have a big office garden for the best BBQs in Berlin.
💪 Package. A compensation package that fairly mirrors what's expected from you and the impact you'll have on femtasy. Exact range shared in the first call.
femtasy offers equal opportunities for all and encourages applicants of all nationalities, genders, sexual orientations, religious backgrounds, gender identities, and people with disabilities to apply.
Our Recruiting Process
- Short application questionnaire (approx. 10 minutes)
- 30 min Get-to-know-each-other call with one of our recruiters
- 30 min with our Head of Data
- 1h 30 min working session with our Head of Data: a live scoping exercise, not a take-home test
- 45 min interview with one of your future stakeholders (Marketing, Product or Finance)
- 1h interview with our CEO
- Final offer
We are looking to fill this position
as soon as possible
und usually respond
within three days.
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