Retail Business Data Analytics at Motus Aftermarket Parts

Job Description

• 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.

Closing Date 11 June 2026