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 <div style="text-align:justify;">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.</div><div style="text-align:justify;">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.</div> 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 <ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Audit existing data flows across ERP, MES, and PLM - understand what exists, where it lives, and how it reaches reporting outputs</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Design a structured data storage and pipeline architecture - defining sources of truth, data models, and refresh cadences</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Build and maintain reliable data warehouse structure and pipelines to replace manual CSV exports and point-to-point connections</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Own data quality: define checks, document known issues, and ensure stakeholders can trust what they see</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Document data models, pipeline logic, and reporting definitions - no tribal knowledge dependencies</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Partner with the Operations Planning and Analytics Lead to translate operational questions into well-structured data products</li></ul> Qualifications <ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">BSc in Computer Science, Data Science, Business Informatics, or equivalent</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">3–5 years in data engineering, analytics engineering, or BI roles</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Prior exposure to cloud data warehousing — Snowflake, BigQuery, Redshift, or Fabric</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">SQL (strong) - complex queries, performance optimisation, views and models</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">ETL/ELT pipeline design and maintenance</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Data modelling — understanding of dimensional and relational models</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Comfortable with ambiguity in a build-from-scratch environment — no clean data model to inherit</li></ul> Nice to have <ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Python or dbt for pipeline automation and data transformation</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">ERP and/or MES system familiarity — understanding how operational data is structured at source</li><li style="list-style-type:disc;font-size:11pt;font-family:Arial, sans-serif;color:#111111;background-color:transparent;font-weight:400;font-style:italic;text-decoration:none;">Experience connecting heterogeneous operational systems (ERP, MES, PLM, or similar)</li></ul>

BI / Reporting Analyst (all genders) @ Stark

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