Senior Data Analyst

Role Purpose

The Data Analyst III / 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.

Key Responsibilities

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 and Experience

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

Our Group and all its operating companies is committed to creating, embracing, and preserving a diverse workplace that values the unique talents, perspectives, backgrounds, and abilities that enrich our organisation. A place where everyone matters and feels included.

We are committed to Employment Equity when recruiting internally and externally.

Please take note that by responding to this application and providing your personal information, you confirm your express and informed consent for Shoprite Checkers (Pty) Ltd and all its subsidiaries and affiliates companies to process your personal information for the Company to consider your application for this position. All Personal Information which you provide to the Company will be used and/or retained only for the purposes for which it is collected, whereafter it will be permanently destroyed. Your information is only retained if it is required by law or where you have given consent to us to retain such information for an extended period.

If you don’t hear from us within 14 days, please consider your application unsuccessful. Any personal information collected as part of your application will be destroyed, securely, in accordance with South African legislation.