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Business Performance Data Analyst

2 weeks ago

Five Dock, New South Wales, Australia Motor Platform Full time $80,000 - $120,000 per year
Business Performance Data Analyst

Part-time · Onsite (Sydney Inner West — Five Dock)

MotorPlatform is Australia's fastest-growing intra-dealer marketplace. Our AI-powered platform unifies valuation, trading, and wholesale workflows for dealerships, fleets, and lenders, helping them move stock faster and more profitably.

Role overview

Turn our rich platform data (multiple product/sale/buyer types and status-heavy journeys) into clear, actionable insights. Most KPIs are pre-defined; your job is to operationalise them in SQL and dashboards, then use business acumen to propose smart ideas, proxy metrics, and low-lift experiments that improve conversion, margin, and days-in-stock.

What you'll do
  • Operationalise KPIs: Build reliable SQL and dashboards for core metrics (e.g., conversion rates, time-in-stage, pricing/valuation accuracy, acceptance rates, SLA timings).
  • Funnels: Ship state-transition funnels with time-in-status, drop-offs, and ageing views.
  • Segment performance: Compare performance across customer segments, regions, and product lines.
  • Valuation insights: Quantify model-vs-outcome accuracy (MAE, median deltas, outliers) and recommend pricing/flow tweaks.
  • Idea generation: Propose new leading indicators (e.g., engagement depth → probability to convert) and quick experiments; estimate impact and measure uplift.
  • Root-cause analysis: Explain variances vs targets and recommend concrete operational fixes.
  • Data quality: Run null/duplicate checks, reconciliations, and lightweight anomaly flags; document status dictionaries and metric definitions.
Skills & experience
  • SQL (MySQL 8+): Strong JOINs/CASE, CTEs, window functions (LAG/LEAD), conditional aggregates; can read an EXPLAIN and suggest basic indexes.
  • Funnel & cohort thinking: Comfortable modelling state transitions and computing time-between-steps; handles reversals/terminal states.
  • Dimensional basics: Date/dealer/buyer/vehicle dimensions; clean metric definitions and consistent keys.
  • BI / visualisation: Competent in Metabase/Looker Studio/Tableau (any) to ship fast, usable dashboards with filters and drill-downs.
  • Business acumen: Turns ops conversations into hypotheses; scopes tests; picks lead indicators; sizes upside with simple models.
  • Communication: Clear, concise storytelling for non-technical stakeholders (what happened, why, and what we should do).
  • Privacy & hygiene: Minimises PII in extracts; follows least-privilege access.
Nice to have
  • Automotive wholesale/logistics/finance exposure (PPSR, discharge timing).
  • Python (pandas) for ad-hoc analysis; Git for versioning analytics SQL.
  • Experience with AWS RDS/MySQL; familiarity with marketplace metrics.
Qualifications & level
  • Preferred: 2–4 years' experience in a data analyst/BI role with production SQL and shipped dashboards.
  • Will also consider strong 1–2 years candidates who've owned complex SQL and can demonstrate funnel/time-in-status work.
How we'll assess
  • 45-min practical: Build a status-transition funnel with time-between-steps; define metrics; explain assumptions.
  • 10-min performance chat: Walk through an EXPLAIN plan, propose indexes, and refactor a slow join.
  • Idea pitch (5 min): Suggest one leading indicator and one low-lift experiment; describe how we'd measure success.
Apply

Please include your LinkedIn, CV, and 1–2 work samples (dashboard screenshots or SQL snippets). A brief note on a marketplace metric you'd improve—and how you'd measure it—earns bonus points.