Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you create standardized metrics and documentation, while building dashboards in Metabase to shape the business logic for internal AI analytics as a Business Logic Architect.
Job Technologies
Your role in the team
- Do you want to move beyond the world of treating data teams like report factories? Are you ready to step into the future of analytics, acting as a true business logic architect who designs the semantic foundation for both humans and advanced AI data agents? If this sounds like you, then you're the perfect match for us.
- We have already deployed our own in-house AI analytics agent to handle rapid self-serve questions. Now, we need a brilliant, commercially aware Senior Data Analyst to partner with our CEO Office and Customer Operations teams to own the underlying business context, standardize core metrics, and build the source-of-truth frameworks that power our next chapter of growth.
- Act as a Business Logic Architect: Partner directly with the CEO Office and Customer Operations leaders across our US and DACH markets. Extract tribal business rules from spreadsheets and Slack threads, transforming them into clearly defined, standardized metrics and documentation.
- Own Source-of-Truth Products: Design, build, and maintain foundational dashboards in Metabase that serve as the ultimate operating rhythm for leadership. Ensure every asset you publish is treated like a robust product—comprehensive, reusable, and clearly highlighting any logical caveats.
- Fuel AI-Driven Analytics: Enrich the semantic context and reliability of GotPhoto's in-house AI analytics agent. Translate domain rules and metric definitions into structured assets so the agent can accurately execute self-serve analysis without spreading misaligned insights.
- Raise the BI Chapter Bar: Serve as a senior technical beacon within the BI chapter. Mentor peer analysts, champion analytical rigor, and systematically turn repetitive ad-hoc ticket spikes into scalable, automated self-serve models.
- Bridge the Data Ecosystem: Work collaboratively with the BI Chapter and the Data Platform team, translating complex business logic into clean structural requirements for upstream Snowflake performance and data engineering dependencies.
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Our expectations of you
Qualifications
- Data Product Architecture: Strong understanding of dimensional modeling principles and modern BI tools (Metabase exposure is a massive plus). You know how data needs to look to power flawless, trusted reporting layers.
- AI-Augmented Fluency: You already actively leverage AI coding assistants (like Claude, ChatGPT, or similar) to accelerate your own SQL writing, documentation, and QA—possessing the sharp analytical judgment needed to spot hallucinations and validate code accuracy.
- The "Data Product" Philosophy: You don't just build dashboards to close tickets. You think things through to the absolute end, ensuring everything you build is beautifully documented, maintainable, and highly resilient.
- Extreme Ownership & Communication: A natural communicator who can translate highly complex data structures into simple, actionable narratives for non-technical teams, holding yourself to an exceptional bar of data trust and quality.
Experience
- The Strategic Track Record: 5+ years of professional experience in data analytics, with a significant portion spent navigating the fast-paced realities of B2B SaaS, transactional E-Commerce, or global Marketplaces.
- Executive Partnership: Proven experience working directly alongside senior leadership or C-level stakeholders, demonstrating the professional maturity needed to challenge assumptions and drive cross-functional metric consensus.
- Snowflake & SQL Mastery: Advanced, production-grade SQL skills with deep experience optimizing queries and structuring data logic natively within Snowflake.
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What we offer
- We work as one team. Wherever you come from. However, you identify. We believe in equal opportunities.
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Topics that you deal with on the job
Job Locations
This is your employer
GotPhoto
GotPhoto is a Berlin-based company that assists photographers in digitizing their workflows. The platform offers a comprehensive solution that includes photo management, customer communication, as well as order and payment processing. Since its founding in 2012, GotPhoto enables photographers to focus on their creative work by simplifying administrative tasks.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Analyst
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
