Senior Data Analyst (AI-Enabled Analytics)

Darum lohnt es sich

Requirements 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 Data Product Architecture: Strong understanding of dimensional modeling principles and modern BI tools (Metabase exposure is a massive plus).

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 What the job involves Act as a Business Logic Architect: Partner directly with the CEO Office and Customer Operations leaders across our US and DACH markets.

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 #J-18808-Ljbffr 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.

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.