Senior Data Analyst at Shoprite Group of Companies

Purpose of the Job    

• The Lead Data Analyst position is a pivotal role within the data analytics team, responsible for conducting advanced data analysis, driving strategic insights, and providing leadership to junior analysts.
• This hybrid role requires a blend of technical expertise, business acumen, and strong leadership skills to effectively analyse complex datasets, develop actionable recommendations, and guide the analytics team in delivering impactful solutions.
• Reporting to the Head of Data Analytics, the incumbent will play a key role in shaping the organisation's data-driven decision-making processes and driving business growth through actionable insights.

Job Objectives    

Data Analysis and Modelling:

• Perform in-depth data analysis using advanced statistical techniques, machine learning algorithms, and predictive modelling to uncover actionable insights.
• Develop and implement data models, algorithms, and visualisations to support strategic decision-making and business optimisation.
• Utilise data visualisation tools to create intuitive dashboards and reports that effectively communicate insights to stakeholders.

Strategic Insights and Recommendations:

• Collaborate with business stakeholders to understand key objectives and challenges and translate business requirements into analytical solutions.
• Provide strategic insights and actionable recommendations based on data analysis to drive business growth, improve operational efficiency, and enhance customer experience.
• Identify trends, patterns, and opportunities within the data to support data-driven decision-making across the organisation.

Leadership and Mentorship:

• Provide leadership and mentorship to junior analysts, guiding them in performing data analysis, interpreting results, and developing analytical solutions.
• Foster a collaborative and innovative team culture, promoting knowledge sharing, best practices, and continuous learning among team members.
• Serve as a subject matter expert in data analytics, providing guidance and expertise to cross-functional teams and stakeholders.

Project Management and Execution:

• Lead and contribute to cross-functional analytics projects, including defining project scope, objectives, and deliverables, and managing project timelines and resources.
• Collaborate with stakeholders to prioritise analytics initiatives and ensure alignment with organisational goals and objectives.
• Monitor project progress, identify risks and issues, and implement corrective actions to ensure successful project execution and timely delivery of results.

Data Governance and Quality Assurance:

• Monitor and where required enforce data governance policies and procedures to ensure the integrity, accuracy, and security of data assets.
• Conduct data quality assessments and audits to identify and resolve data discrepancies, inconsistencies, and errors.
• Implement best practices for data management, documentation, and metadata management to support data integrity and compliance requirements.

Team Leadership and Development:

• Lead the analytics team in achieving strategic objectives, fostering a culture of accountability, collaboration, and innovation.
• Provide mentorship, coaching, and professional development opportunities to junior analysts, empowering them to grow their skills and expertise.
• Set performance goals and objectives for the analytics team, monitor progress, and provide regular feedback and performance evaluations.

Strategic Planning and Decision-Making:

• Collaborate with senior leadership to define strategic priorities, identify opportunities for leveraging data analytics, and drive organisational change through data-driven insights.
• Participate in strategic planning sessions, providing input and recommendations based on data analysis and market trends to support informed decision-making at the executive level.
• Serve as a trusted advisor to senior leadership, presenting findings, insights, and recommendations in a clear, concise, and compelling manner.

Qualifications    

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. (Master's degree preferred for Lead Data Analyst)

Experience    

• 6 years of experience in data analysis, with progressively increasing responsibilities and leadership roles.
• Proficiency in data manipulation, analysis, and visualisation tools such as SQL, Python, R, Tableau, or Power BI.

Knowledge and Skills    

• Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex datasets.
• Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Proven leadership and mentorship abilities, with experience in guiding and developing high-performing analytics teams.
• Experience in project management, strategic planning, and decision-making in a data-driven environment.

Closing Date    

• 2026/02/05