Job
In dieser Position entwickelst du Datenmodelle, definierst Metriken, schließt Instrumentierungslücken und arbeitest eng mit Produktmanagern, um exakte Analysen und Dashboards für fundierte Entscheidungsfindung zu erstellen.
Job-Technologien
Deine Rolle im Team
- Understand the business. Learn which decisions Product, Customer Success, Operations and leadership need to make, and turn that into prioritized use cases, metric definitions and source requirements.
- Build the foundations. Bring the analytics perspective to stack, ingestion and warehouse design. Own the conventions for transformation, naming, testing and documentation.
- Model product usage and operations. Build clean models for activation, adoption, retention and customer health, as well as for support, implementation projects and delivery efficiency.
- Make metrics and data trustworthy. Define and document core metrics, resolve conflicting definitions, and put tests, freshness checks and clear ownership on every important model.
- Close instrumentation gaps. Work with engineers to design events and source data that make future analysis reliable.
- Measure what we ship. Partner with Product Managers on A/B tests, staged rollouts and feature-flag experiments, from hypotheses and guardrail metrics to an honest reading of the results.
- Enable self-service. Build marts, a semantic layer, dashboards and documentation, and run hands-on sessions that help colleagues use data well.
Unsere Erwartungen an dich
Qualifikationen
- Advanced SQL and solid Python, including query optimization in a cloud warehouse (e.g. Snowflake, BigQuery, Databricks, ClickHouse).
- Hands-on dbt or similar. Airflow or Dagster is a plus.
- Solid grasp of dimensional modeling, event data, SCDs and metric design.
- Engineering habits: Git, code review, testing, CI/CD, documentation.
- Strong product sense and the ability to turn vague questions from non-technical stakeholders into clear definitions and dependable models. Clear communication in English.
- Nice to have: B2B SaaS and product analytics or customer health scoring, event tracking design (Segment, Snowplow, PostHog), compliance, audit or certification domains.
Erfahrung
- 5+ years in data analytics (e.g. Data, Product or BI Analyst) with a growing focus on analytics engineering. You've built reusable models, not only one-off analyses.
- Experience with a BI or semantic layer tool (e.g. Looker, Power BI, Metabase, Tableau).
- Experience designing and analyzing experiments, with a sound grasp of significance, power and common pitfalls.
Unser Angebot
- Flexible work models, with a 100% remote option.
- Fair compensation. In Austria due to legal requirements from € 75,000 gross per year (full-time), with overpayment based on qualifications and experience; for other locations, in line with local market conditions.
- Start: As soon as possible.
Benefits
Work-Life-Integration
Essen & Trinken
Gesundheit, Fitness & Fun
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Lebring
Unsere motivierten und begeisterten Mitarbeiter entwickeln gemeinsam mit unseren Kunden neue Softwarelösungen. Bei uns ist es wichtig, in einer entspannten Atmosphäre zu arbeiten, in der auch der Spaß nicht zu kurz kommt. Wir machen das nicht für Intact, sondern mit Intact
- 2001
- Etablierte Firma
- Full Remote, Hybrid, Onsite
- Beratung · Internet, IT, Telekom
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