Senior BI Analyst – Team Lead

This is a fully remote position, open to applicants in South Africa.

📋 Description

• Lead, develop, and oversee a team of three analysts, including workload distribution, quality assessment, and professional growth.

• Establish the benchmarks for data models, definitions, and documentation that the entire organization relies upon.

• Act as the main data collaborator for stakeholders in Sales, Finance, Marketing, Operations, and Product.

• Maintain daily automated reports covering leads, listings, LPL, promoted listings, sold listings, and market monitoring.

• Fulfill weekly ad-hoc data requests for P24 and AutoTrader.

• Generate monthly and quarterly commercial analyses, industry reports, and press-ready data articles.

• Monitor commercial KPIs such as take rate, ROS/MDS, LPL per dealer, slot utilization, and dealer profitability.

• Create and uphold dashboards in Tableau and Apache Superset, along with templates in Excel and Google Sheets.

• Proactively identify opportunities for data enhancement and present insights to the organization.

• Write and sustain complex SQL queries and automated pipelines across P24 and AT databases.

• Process, cleanse, and ensure the integrity of data utilized for analysis and modeling.

• Develop recurring data workflows, including revenue books, billing, finance reporting, and sold data.

• Employ predictive and statistical techniques on existing datasets, such as churn modeling, demand forecasting, pricing elasticity, and anomaly detection.

• Investigate ML-assisted valuation and depreciation modeling for AutoTrader.

• Collaborate with engineering teams to productionize models as components of automated pipelines.

⛳️ Requirements

• 5+ years of experience in BI, data analytics, or data science, with 1–2 years in a leadership or mentoring role.

• Advanced proficiency in SQL and experience in creating automated reporting pipelines.

• Familiarity with at least one of the following: Python, Tableau, Apache Superset, or Excel.

• Strong comprehension of machine learning techniques and algorithms, including clustering, neural networks, and boosting.

• Expertise in statistical analysis, data mining, and mathematics.

• Demonstrated ability to manage a high-volume, multi-stakeholder request backlog independently.

• Excellent communication skills, capable of translating complex data and models into a clear business narrative.

🏝️ Benefits

• Work from home option available for Product, Data & Tech staff.

• Competitive salaries and performance bonuses.

• 21 days of leave plus 1 additional day for every 2 years worked (up to a maximum of 25 days).

• Complimentary daily breakfast provided when working from the office.

• Group life insurance coverage.

• Paid maternity leave (4 months) and paternity leave (10 days).

• Subsidy for video or book subscription services.

• Ad-hoc peer reward system in place.