Manager, Data & BI Practice

• Build operational dashboards and executive reporting from the ground up at newly acquired portfolio companies
• Design scalable data models that connect fragmented source systems (ERP, CRM, production, finance) into coherent analytical views
• Identify KPIs, surface non-obvious patterns, and translate data into actionable insights for leadership
• Develop financial and operational analyses including P&L deep-dives, margin bridges, run-rate models, and forecasting support
• Navigate competing priorities across C-suite, operational teams, and AURELIUS investment professionals
• Frame findings for Board presentations and investor reporting - not just charts, but narrative and recommendation
• Push back professionally when requests are unrealistic, poorly scoped, or misaligned with strategic priorities
• Train and enable local teams to sustain reporting independently after your engagement ends
• Assess and improve data maturity at portfolio companies - from Excel-based reporting to modern BI platforms
• Build ETL/ELT pipelines, clean and reconcile messy post-carve-out data, and establish data quality standards
• Advise on platform and tooling decisions (Power BI, Azure/Fabric, cloud data platforms) appropriate to each company's scale and maturity
• Use AI tools (LLMs, coding assistants, copilots) to accelerate data exploration, prototyping, and documentation
• Identify and implement automation opportunities - recurring reports, data validation, extract pipelines - that reduce manual effort
• Stay current on emerging AI/ML capabilities relevant to analytics and bring a pragmatic view on where they add genuine value vs. hype

• 5+ years in BI/analytics roles with meaningful Power BI experience (data modelling, DAX, Power Query)
• SQL proficiency - comfortable writing queries against relational databases, not just drag-and-drop
• Strong financial literacy - you can read a P&L, understand margin structures, and spot when numbers don't reconcile
• Experience working with ERP data (SAP, Dynamics, Oracle, or similar) and understanding how transactional systems map to analytical models
• Proven ability to work autonomously in ambiguous environments - you don't wait for a requirements document; you figure out what matters
• Excellent communication skills - you can present to a Board, write a concise stakeholder email, and explain a data model to a non-technical audience
• Willingness to travel to portfolio company sites across Europe (and occasionally North America) for on-site engagements

Nice to have

• Python for data analysis, automation, or pipeline development
• Experience with cloud data platforms (Azure, Fabric, Databricks, or similar)
• Background in PE, consulting, or transformation environments where you've had to build analytics capability from zero
• Exposure to manufacturing, industrial, or retail operational data
• Active use of AI/LLM tools in your analytical workflow - not as a gimmick, but as a genuine productivity multiplier
• German language skills (many portfolio companies are DACH-based)

The Data & BI team sits within the IT Practice of AURELIUS WaterRise and works across the entire AURELIUS portfolio - industrials, technology & business services, consumer goods - across the UK, Continental Europe, and North America. This is not a back-office reporting role. You will be embedded directly into portfolio companies during critical transformation phases: post-acquisition carve-outs, ERP migrations, operational turnarounds. You will often be the first analytics hire these businesses have ever had. You'll build from scratch, work with messy real-world data, and deliver insights that shape Board-level decisions and value creation plans. The role requires someone who can operate independently, switch contexts fast, and communicate as comfortably with a plant manager as with a PE investment director.