BI / Reporting Analyst (All Genders)

The company and business sits in a tightly regulated, high-stakes industry and is transitioning from small-batch production into full-volume manufacturing, this hire is central to making that jump work.

The Operations Excellence team reports into the COO's organization and acts as a strategic partner to managers, team leads, and colleagues throughout the company. They drive efficiency, scalability, and faster goal achievement by delivering data-backed insight, leading high-priority projects, and pushing continuous process improvement.

As an individual contributor on this team, you'll take full ownership of complex, high-impact initiatives. You'll work directly with stakeholders across the business, shape core operating processes, influence major decisions, and play a direct role in the growth of one of Europe's fastest-scaling company.

Your Mission

As BI/Reporting Analyst, you'll own the data infrastructure and visualization layer for our Operations Planning and Analytics team. That starts with mapping today's data landscape — where information lives across our ERP, MES, and PLM systems, and how it currently flows between them — then designing a structured way to store and move that data, replacing fragile, ad-hoc pipelines with systems that are maintainable and well-documented. Once that foundation is solid, you'll turn the data into reporting that operational teams and leadership can actually act on.

What You'll Do

Audit our current data flows across ERP, MES, and PLM systems — understand what exists, where it's stored, and how it reaches reporting outputs
Design a structured data storage and pipeline architecture, defining sources of truth, data models, and refresh schedules
Build and maintain a reliable data warehouse and pipelines to replace manual CSV exports and one-off point-to-point connections
Take ownership of data quality — define checks, document known issues, and make sure stakeholders can trust what they're looking at
Document data models, pipeline logic, and reporting definitions, so nothing depends on tribal knowledge
Partner with the Operations Planning and Analytics Lead to turn operational questions into well-structured data products

What You Bring

3–5 years of experience in data engineering, analytics engineering, or BI
Hands-on experience with a cloud data warehouse — Snowflake, BigQuery, Redshift, or Fabric
Strong SQL skills — complex queries, performance tuning, views, and data models
Experience designing and maintaining ETL/ELT pipelines
Solid grasp of data modeling — both dimensional and relational approaches
Comfort working with ambiguity in a build-from-zero environment, without an existing clean data model to fall back on
A BSc in Computer Science, Data Science, Business Informatics, or a related field

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