Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. AutoScout24 scores B on the Alion truth index.
A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.
Global Central Analytics is expanding its established marketplace reporting capabilities across the Autonex group. We are looking for a Principal Analytics Lead to build our Portfolio Intelligence capability for AutoProff, DealerTrack, CMS, Software and Finance. You will help business leaders understand performance through trusted core KPIs and reporting that reflects how each business operates.
You will report to the Central Analytics Lead, shape technical direction and work directly on complex analytical challenges. Just as importantly, you will help colleagues develop their skills and improve how the team delivers insight across the business.AI is embedded in our everyday work. You will use AI tools actively in analysis and development, help colleagues adopt effective workflows, and apply sound judgment to the results.
What you’lldo
- Shape the analytics priorities and reporting approach for portfolio businesses, connecting their commercial drivers to the decisions leaders need to make.
- Coach analysts through problem framing, pairing, reviewsand constructive feedback. Help colleagues develop their technical judgment, stakeholder communicationand confidence in owning complex work.
- Raise standards across Global Central Analytics by sharing best practices, creating reusable approachesand turning lessons from projects into guidance the wider team can apply.
- Identifyopportunities to improve how the team works: simplify reporting, reduce manual effort and technical debt, and improve reliability, delivery speedand the cost of analytical workloads.
- Make AI part of everyday delivery, from SQL and Python development to exploration, testing, documentationand reporting. Evaluate new tools and agentic workflows, share what works, and validateresults against trusted data.
- Lead complex reporting initiatives from requirements to adoption, staying hands-on with data models, pipelines and dashboardsand partnering with engineering and data platform teams.
- Establish clear KPI definitions, ownershipand validation, with documentation and controlled changes that preserve comparability. Create reusable metrics and semantic contextthat support reliable self-service and AI-assisted analysis.
- Diagnose performance movements, identifyrisks and opportunities, and translate analysis into recommendations. Shapethe insights discussed in weekly and monthly business reviews with the relevant business owners.
- Partner with FP&A to establishand maintain financial core KPI reporting, connecting operational performance with financial outcomes while respecting Finance’s ownership of financial definitions and reporting decisions.
- Act as a senior analytics partner tobusiness and technical leaders. Resolve ambiguity, challenge assumptionsand align stakeholders on priorities, trade-offsand a practical delivery approach.
What you bring
- A record of senior-level impact in analytics, including shaping ambiguous problems, leading complex initiativesand influencing decisions across teams.
- Advanced SQL and strong data modelling skills, with practical experience building maintainable analytical datasets and transformations across multiple source systems.
- Programming and automation skills for repeatable data preparation, analysisand validation, using a language such as Python.
- Hands-on use of AI assistants and agentic workflows in analytical or coding work, with the judgment to test generated code, validateconclusions and recognize limitations.
- Experience delivering reliable reporting with cloud data platforms, transformation toolsand BI systems, supported by version control, testingand documentation.
- Proven ownership of KPI frameworks and reporting quality, including reconciliation, validation and changes to definitions or sources.
- The ability to learn unfamiliar business domains, identifytheir performance driversand balance reusable standards with business-specific needs.
- Experience coaching analysts, improving team practices and sharing knowledge beyond your own projects, while remainingclosely involvedin technical delivery.
- Confidence working with senior stakeholders, challenging unclear requirements constructivelyand translating analysis into decisions and practical recommendations.
Preferred experience
- Experience leading a small analytics team, supporting colleagues’ developmentand helping them prioritize their work.
- Experience partnering with Finance or FP&A on financial KPIs, management reporting, reconciliationor the connection between operational and financial performance.
- Experience developing shared metrics, semantic layersor AI-enabled self-service analytics.
- Experience establishinganalytics or recurring business reviews across multiple business units, particularly in software, FinTech, dealer services or B2B businesses.
A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.
For a career where you can drive our business and shape your future, apply now.

