Manager, Data & BI Practice

The Data & BI team sits within the IT Practice of AURELIUS Water Rise 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.

• 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.

• 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 — 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 — figure out what matters without a requirements document.
• Excellent communication skills — can present to a Board, write concise stakeholder emails, 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 analytics capability was built from zero; exposure to manufacturing, industrial, or retail operational data; active use of AI/LLM tools in analytical workflow;
  German language skills.

• 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; 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 — AURELIUS hires people who can run with a problem.