Department Manager - Data Analytics

About the role

We are looking for a Data Analytics to join our team, focusing on driving operational efficiency and productivity within the retail business. The ideal candidate will work closely with senior management to develop and implement initiatives that leverage data-driven insights to optimize processes and improve performance. You will play a key role in translating complex data into actionable strategies, tracking project progress, and ensuring alignment across various business units.

Key responsibilities

• Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.

Qualifications:

• 2-5 years+ working experience in Data Analytics, Process Improvement
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field
• Proficient in SQL (preferably Databricks SQL), Power BI, Python, and Tableau, with proven experience handling large-scale datasets
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.)
• Skilled in process improvement, project management, and data analysis
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success
• Ability to work independently and under pressure with business-partnering mindset
• Good presentation, communication and influencing skills