Retail Business Data Analytics

Motus Corporation

Motus Aftermarket Parts, a leader in the automotive aftermarket parts industry, is seeking a Retail Business Data Analytics Specialist to drive data-led decision-making, improve operational performance, and support sustainable growth across our retail branch network.

Requirements

Qualifications

  • Bachelor's Degree in Data Science, Statistics, Mathematics, Business Analytics, Economics, or a related field.
  • Postgraduate qualification advantageous.

Experience

  • 5 - 8 years' experience in Data Analytics, Business Intelligence, or a similar role.
  • Experience within Retail, FMCG, Wholesale, or Automotive Aftermarket, preferred.
  • Proven ability to translate data into actionable business insights that influence decision-making and improve performance.

Technical Skills

  • Advanced SQL and Excel skills.
  • Experience with Power BI, Tableau, or similar Business Intelligence tools.
  • Python or R advantageous.
  • Strong understanding of retail KPIs, inventory management, sales performance, customer trends, and profitability drivers.

Key Responsibilities

  • Analyse sales, branch performance, inventory, customer purchasing behaviour, and product category trends across the Midas retail network.
  • Deliver actionable insights that support revenue growth, margin improvement, and operational excellence.
  • Identify opportunities to optimise stock holding, replenishment, product availability, and inventory turnover.
  • Support pricing, promotional, category management, and merchandising strategies through data analysis.
  • Develop and maintain dashboards and reporting tools that provide real-time visibility into business performance.
  • Monitor key retail and operational metrics, identifying trends, risks, and opportunities for improvement.
  • Partner with Retail Operations, Commercial, Marketing, Finance, and Supply Chain teams to drive data-informed decisions.
  • Track the effectiveness of business initiatives and recommend continuous improvements.

What Success Looks Like

  • Improved branch performance, stock availability, inventory efficiency, and customer satisfaction.
  • Measurable contribution to sales growth, gross profit, and overall business profitability.
  • Increased adoption of data-driven decision-making across the Midas retail network.
  • Accurate, timely, and insightful reporting that enables proactive business management.
  • Recognition as a trusted business partner and key contributor to operational excellence and sustainable growth.

If you are commercially minded, passionate about analytics, and eager to make a measurable impact in a fast-paced automotive retail environment, we invite you to apply.

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