BI / Reporting Analyst (all genders) at STARK

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, ETL/ELT Pipeline Design, Data Modelling, Data Engineering, BI Reporting, Python, dbt, ERP Systems, MES Systems, PLM Systems, Dimensional Modelling, Relational Modelling

Industry

Defense and Space Manufacturing

Description

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 3–5 years in data engineering, analytics engineering, or BI roles 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 BSc in Computer Science, Data Science, Business Informatics, or equivalent 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) About us SECURITY CLEARANCE Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. EQUAL OPPORTUNITY We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.

Responsibilities

The role involves designing and maintaining the data storage and pipeline architecture to replace manual exports with reliable data warehouse structures. You will own data quality and documentation while translating operational questions into structured data products for leadership.