BI / Reporting Analyst (all genders)

About Us STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments.

We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.

About the team The Operations Excellence team sits within the COO organization and serves as a strategic partner to managers, team leads, and colleagues across Stark. By delivering data-driven insights, leading critical projects, and driving continuous process improvement, we help the organization operate more efficiently, scale effectively, and achieve its goals faster.

As an individual contributor, you will take end-to-end ownership of complex initiatives with significant business impact. Working closely with cross-functional stakeholders, you will have the opportunity to influence key decisions, shape core operating processes, and contribute directly to the success of one of Europe’s fastest-growing unicorns.

Your mission As OPA Lead, you own the quantitative backbone of operations. You design and run the S&OP process, define the KPI framework, and produce WBR/MBR data packs that give leadership a reliable, accurate picture of the business. You build the planning rhythm from scratch and develop the team beneath you.

Responsibilities

Audit existing data flows across ERP, MES, and PLM - understand what exists, where it lives, and how it reaches reporting outputs

Design a structured data storage and pipeline architecture - defining sources of truth, data models, and refresh cadences

Build and maintain reliable data warehouse structure and pipelines to replace manual CSV exports and point-to-point connections

Own data quality: define checks, document known issues, and ensure stakeholders can trust what they see

Document data models, pipeline logic, and reporting definitions - no tribal knowledge dependencies

Partner with the Operations Planning and Analytics  Lead to translate operational questions into well-structured data products

Qualifications

BSc in Computer Science, Data Science, Business Informatics, or equivalent

3–5 years in data engineering, analytics engineering, or BI roles

Prior exposure to cloud data warehousing — Snowflake, BigQuery, Redshift, or Fabric

SQL (strong) - complex queries, performance optimisation, views and models

ETL/ELT pipeline design and maintenance

Data modelling — understanding of dimensional and relational models

Comfortable with ambiguity in a build-from-scratch environment — no clean data model to inherit

Nice to have

Python or dbt for pipeline automation and data transformation

ERP and/or MES system familiarity — understanding how operational data is structured at source

Experience connecting heterogeneous operational systems (ERP, MES, PLM, or similar)