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Tech Stack
Tools & technologiesApachePythonSQLTableau
About the role
Key responsibilities & impact- Lead, develop, and manage a team of three analysts — workload allocation, quality review, and growth
- Set the standards for data models, definitions, and documentation the whole business relies on.
- Serve as the primary data partner to stakeholders across Sales, Finance, Marketing, Operations, and Product
- Maintain daily automated reports: leads, listings, LPL, promoted listings, sold listings, market monitor
- Deliver weekly ad-hoc data requests across P24 and AutoTrader
- Produce monthly and quarterly commercial analyses, industry reports, and press-ready data articles
- Track commercial KPIs: take rate, ROS/MDS, LPL per dealer, slot utilisation, dealer profitability
- Build and maintain dashboards in Tableau and Apache Superset; templates in Excel and Google Sheets
- Proactively identify data improvement opportunities and surface insights to the business
- Write and maintain complex SQL queries and automated pipelines across P24 and AT databases
- Process, cleanse, and verify the integrity of data used for analysis and modelling
- Build recurring data workflows — revenue book, billing, finance reporting, sold data
- Apply predictive and statistical techniques to existing datasets — churn modelling, demand forecasting, pricing elasticity, and anomaly detection
- Explore ML-assisted valuation and depreciation modelling for AutoTrader
- Collaborate with engineering to productionise models as part of automated pipelines
Requirements
What you’ll need- 5+ in BI, data analytics, or data science; 1–2 years leading or mentoring others
- Expert-level SQL and experience building automated reporting pipelines
- Proficiency in at least one of Python, Tableau, Apache Superset, and Excel
- Strong understanding of machine learning techniques and algorithms (clustering, neural networks, boosting)
- Proficiency in statistical analysis, data mining, and mathematics
- Proven ability to manage a high-volume, multi-stakeholder request backlog independently
- Strong communication skills — able to translate complex data and models into clear business narrative
Benefits
Comp & perks- Work from home option for Product, Data & Tech staff
- Competitive salaries and performance bonuses
- 21 days leave + 1 for each 2 years worked (up to 25 days)
- Free daily breakfast (if working from office)
- Group life insurance
- Paid maternity (4 months) and paternity (10 days) leave
- Video or book subscription service subsidy
- Ad-hoc peer reward system
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingautomated reportingpredictive techniquesstatistical analysisdata cleansingdata workflowsmachine learningdata miningmathematics
Soft Skills
leadershipcommunicationcollaborationproblem-solvinganalytical thinkingmentoringstakeholder managementinsight generationworkload managementquality review