Senior Data Analyst (AI-Enabled Analytics) (all genders) at GotPhoto

Senior Data Analyst (AI-Enabled Analytics)

Berlin, Germany – Full‑time, on‑site.

About the Role

Act as a true business logic architect who designs the semantic foundation for both humans and advanced AI data agents. Partner with the 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.

Responsibilities

• 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; treat every asset you publish as 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 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.

Qualifications & Experience

• 5+ years of professional experience in data analytics, with a significant portion spent in fast‑paced 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.
• Data Product Architecture: strong understanding of dimensional modeling principles and modern BI tools (Metabase exposure a plus).
• AI-Augmented Fluency: actively leverage AI coding assistants (Claude, ChatGPT, or similar) to accelerate your own SQL writing, documentation, and QA; possess the analytic judgment to spot hallucinations and validate code accuracy.
• Mindset: the “Data Product” philosophy – think things through to the absolute end, ensuring everything you build is beautifully documented, maintainable, and highly resilient; extreme ownership & communication – natural communicator who translates complex data into simple, actionable narratives for non‑technical teams.

Benefits

• Hybrid work model: flexible on‑site and remote options; after probation, up to 40 days of remote work per year within Europe.
• Competitive leave: 26 days of paid leave plus discretionary additional “X‑days.”
• Learning budget for professional growth.
• Employee discounts through the “Benefits at Work” platform.
• Monthly flexible allowance via Probonio for transport, wellness, or other perks.

What We Value

Research shows that candidates from underrepresented backgrounds may refrain from applying for positions if they feel they don't meet all qualifications. We strongly encourage you to apply if you’re interested: we're excited to discover how your distinctive experience can enhance our team! We work as one team. Wherever you come from.

We believe in equal opportunities.