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EUROWAG Group

Head of Analytics and BPM

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
Prague, Czechia
HybridHybrid in Prague; work-from-home option is also mentioned.
Data & AnalyticsBusiness Intelligence

About the job

Requirements
  • Substantial experience leading an analytics, business intelligence, or FP&A-adjacent function at scale, including leading teams through other managers.
  • A proven track record building or running a performance management capability in an environment where numbers are externally reported, such as a listed company or a regulated industry, and understanding what it means when a disclosed metric moves.
  • Demonstrated ability to diagnose metric movements at the root, distinguishing genuine business performance from definition changes and data artifacts, and defending that diagnosis to senior leaders.
  • Strong working knowledge of a modern Microsoft data stack, including Microsoft Fabric, OneLake, Power BI, and semantic models, alongside dimensional modeling and scorecard design.
  • Ability to facilitate an executive review where variance is diagnosed rather than presented, and to deliver an unwelcome number with its explanation intact.
  • Experience rationalizing a sprawling reporting estate into a trusted, governed core, and driving adoption of self-serve analytics against it.
  • Experience in multi-country, multi-entity environments, ideally including post-acquisition analytics integration.
  • Proficiency in analytics and delivery tooling such as Power BI or equivalent business intelligence platforms, JIRA, Confluence, and Miro.
Responsibilities
  • Define and own the multi-year analytics and business performance management strategy and roadmap, aligned to the Data & AI mission themes and resilient to an SAP migration.
  • Lead a multi-team function through managers across business intelligence, performance management, and analytics enablement; hire, level, and develop those leaders and build succession within the function.
  • Build and own the single executive scorecard on the governed key performance indicator set, consuming definitions from the Data Governance function, so that the executive committee, Board, quarterly business reviews, and investor materials use one consistent source.
  • Establish and run the business performance management operating rhythm: monthly executive performance reviews, quarterly deep dives aligned to quarterly business reviews and Board reporting, and an annual feed of actuals and learnings into the planning cycle.
  • Own the explanation standard so every material key performance indicator movement arrives at review pre-classified as business, definition, or data, with a proposed diagnosis and a named owner for the ruling, and decisions and corrective actions tracked to outcome.
  • Define and guarantee key performance indicator freshness service-level agreements covering refresh rates, processing lag, and reporting lag, and report on the function's own performance against them.
  • Build driver trees behind the top key performance indicators so variance conversations move from what happened to why, and establish forecast versus actual reporting on every governed key performance indicator.
  • Close priority instrumentation gaps in the executive narrative, starting with cross-sell and platform-adoption reporting and migration cohort economics.
  • Rationalize the reporting estate from its current sprawl into a governed core, retire inactive reports, consolidate parallel decks into the scorecard, and drive self-serve adoption against certified semantic models.
  • Partner with Investor Relations and Finance so every externally reported metric has a reconciled methodology and a ready explanation for its movement before results are published.
  • Collaborate cross-functionally to embed the performance rhythm where decisions are made, while keeping target-setting and outcome ownership in the business.
  • Safeguard the function's neutrality: no revenue or cost target of its own, one calculation per key performance indicator, and the same answer given to every audience.
  • Represent analytics and business performance management in audit and Board-facing reviews with evidence and controls rather than narrative.
  • Drive automation and artificial intelligence into the function, including automated anomaly and variance detection, AI-assisted diagnostics, and generated commentary, so that explanation scales without scaling headcount.
Desired Qualifications
  • Experience in mobility, logistics, transport, fintech, or enterprise software.

About the company

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