Product Analytics Engineer
Lobster
full-time
Posted on:
Location Type: Hybrid
Location: Tutzing • Germany
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About the role
- Defining, documenting, and prioritising product metrics and KPIs in close collaboration with Product Managers and senior leadership, ensuring alignment with strategic goals.
- Designing and building robust data pipelines to extract product telemetry from our distributed Java-based middleware platform, spanning Lobster-hosted cloud instances and customer-hosted environments (public cloud, private cloud, and on-premises).
- Engineering relevant collectors, cleanup & interpolation tasks, and data validators.
- Architecting and developing the centralised data lake and warehouse infrastructure, selecting and implementing the right technologies to support scalable, reliable analytics based on a variety of data sources.
- Creating and maintaining interactive dashboards and reports in Tableau or Microsoft Power BI, tailored to the needs of different stakeholders from C-level to product teams.
- Validating and quality-assuring incoming data for plausibility, completeness, and consistency, proactively identifying anomalies and data integrity issues across distributed sources.
- Delivering regular analytical reports and ad-hoc insights to senior management and product managers, translating raw data into clear narratives that inform product strategy.
- Collaborating with the Power BI specialist and product engineers to establish best practices, documentation, and scalable processes for the analytics function.
Requirements
- 3–5 years of experience in a data engineering, analytics engineering, or product analytics role, ideally in a B2B software or SaaS environment.
- Strong proficiency in SQL (including stored procedures and views) and experience with at least one programming language for data processing (Python, Java, or similar).
- Hands-on experience building and maintaining ETL/ELT data pipelines and working with data warehouse or data lake architectures.
- Proficiency with Tableau, Microsoft Power BI and Power Query or a comparable business intelligence tool (Tableau, Looker) for creating dashboards and reports.
- Experience with data quality frameworks, the ability to validate, reconcile, and troubleshoot data from distributed and heterogeneous sources.
- Understanding of distributed systems and how product telemetry is collected from environments you don’t fully control (cloud, on-premises, hybrid deployments).
- Analytical mindset with strong attention to detail and the ability to translate business questions into data requirements.
- A clear and efficient communication style in English.
- German language skills are a plus.
- Experience with modern data stack tools such as Airflow, Spark, Snowflake, Databricks, or Azure Synapse is nice to have.
- Familiarity with Java-based applications and understanding how middleware or integration platforms work is also nice to have.
- Experience defining product metrics frameworks (e.g., HEART, North Star, pirate metrics) in a product-led organization is a plus.
- Knowledge of data governance, data cataloguing, or metadata management practices is also a plus.
Benefits
- A modern, spacious office with a view of Lake Starnberg in Tutzing
- Subsidised lunches in our in-house restaurant
- A personal learning and development budget
- 30 vacation days per year
- Up to 30 days of remote work per year from any EU country
- Bike leasing through our partnership with JobRad
- Opportunity to work flexibly from home
- Team evenings every Thursday with refreshments covered by the company
- A company pension plan (bAV)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonJavaETLELTdata pipelinesdata warehousedata lakedata quality frameworksdata validation
Soft Skills
analytical mindsetattention to detailclear communicationcollaborationproblem-solving