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Mid / Senior Data Analyst

autarc GmbH · Berlin | Deutschland · Hybrid, Onsite

Gehalt auf Anfrage

Gefunden am 19.05.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Rolle übernimmst du die Verantwortung für unsere Dateninfrastruktur in PostHog, erstellst Dashboards, definierst KPIs und baust eine funktionale Analyse für alle Teams auf. Job Zusammenfassung In dieser Rolle übernimmst du die Verantwortung für unsere Dateninfrastruktur in PostHog, erstellst Dashboards, definierst KPIs und baust eine funktionale Analyse für alle Teams auf. Deine Rolle im Team You'll be our first full-time data hire. You won't start from zero. We already have a solid foundation of dashboards and tracking in PostHog. Your job is to take ownership, fill the gaps, and scale this into a function that serves the entire company. You'll own our North Star metrics, present them to the company weekly, and make sure every team has the numbers they need to make good decisions fast. This role sits across the entire company. You'll work with Sales on pipeline and conversion metrics, with Marketing on acquisition and attribution, with Engineering on product usage and feature adoption, and with Ops on service delivery and efficiency. You'll help each team define their KPIs, set up tracking in PostHog, and hold them accountable through weekly check-ins. You'll also be the go-to person for ad-hoc requests like a Sales lead needs a quick cohort analysis, the CEO needs investor-ready metrics for the quarterly board deck, Engineering wants to understand a drop in activation. Other things you'll do will include: Own and present company-wide North Star metrics on a weekly basis, Build and maintain dashboards and reports in PostHog, pulling in data from our app API, Stripe, Intercom, and other tools, Support Sales, Marketing, Ops, and Engineering in defining, tracking, and hitting their KPI targets, Run weekly KPI check-ins with team leads to drive accountability, Handle ad-hoc data requests from across the company, Prepare quarterly investor metrics and board reporting, Automate recurring reporting and analysis workflows using AI tools (Claude, Python scripts, PostHog automations), Identify patterns and opportunities in our data that no one is asking about yet. Unsere Erwartungen an dich Qualifikationen Strong SQL skills. You write complex queries confidently and quickly. Comfortable building dashboards, defining metrics, and presenting insights to non-technical stakeholders. You actively use AI tools (Claude, ChatGPT, Copilot) to speed up analysis, automate reports, or generate code. Self-starter mentality. You're comfortable being the only data person and figuring things out independently. Berlin-based, hybrid 3 days in the office (Mitte). Fluent in English (German is a plus). Erfahrung 3+ years for Mid-level or 5+ years for Senior of professional experience in data analytics, business intelligence, or a similar role. Experience working across multiple teams (Sales, Product, Engineering) in a fast-paced environment. Unser Angebot Freedom to choose your own equipment (within a budget). 26 paid vacation days. An annual team retreat. The choice between Dance or JobRad for mobility. The choice between Classpass or Urban Sports Club for fitness. Regular team events, lunches and activities. Benefits Gesundheit, Fitness & Fun 🚲 Jobrad 🎳 Team Events Themen mit denen du dich im Job beschäftigst AI Data Economy Metadaten Level: Erfahren Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Energiewirtschaft, Umwelt Ort: Berlin | Deutschland

Tech Stack

PythonSQL

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.