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.

What You’ll Do

Analytics & Insight

• 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

Stakeholder Management

• 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

Data Engineering & Architecture

• 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

AI & Automation

• 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

What We’re Looking For

• 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)

What We Offer

• A seat on a small, high-impact team where your work directly influences investment decisions and portfolio company performance

• Variety — no two engagements are the same; you’ll work across industries, geographies, and business models

• Exposure to PE deal lifecycle, operational transformation, and senior leadership across the portfolio

• Autonomy and ownership from day one — we hire people who can be trusted to run with a problem