Data Analyst

Purpose of the Job

The purpose of the Data Analyst role is to extract, analyse, and interpret data to leverage competitive advantage, supporting business decision-making through actionable trends and insights. This role is designed to enhance the individual’s analytical skills and proficiency in data communication while collaborating within a cross-functional, agile team. The Data Analyst execute various data analytics tasks, including basic modelling and scenario framing to solve business problems, and effectively communicates findings to facilitate sound commercial decisions. This position emphasizes continuous skill development and maintaining clear, concise communication of data-driven insights.

Job Objectives

Role Description

• Work with business stakeholders to understand and correctly frame analysis requirements, hypotheses and questions and propose fit-for-purpose data led solutions.
• Work with business, technology, and development teams to identify and agree on the right data and application of the right analytical techniques to produce the right business insights.
• Assist in transforming complex data into meaningful formats and graphical reports by writing clear and effective business requirements and making necessary modifications as needed.
• Design, code, debug, test, document, and support applications consistent with established business requirements and specifications and actively participate in post-implementation reviews to ensure successful deployment and usability.
• Build and publish comprehensive and compelling dashboards, reports and analytical findings including insightful observations, commentary, and recommendations to optimise spend or increase the effectiveness of business initiatives.
• Support with complex data related queries from business stakeholders, helping to resolve issues or enable understanding and integration of findings to unlock key insights.
• Validate datasets and reports and proactively resolve any data or metric related issues.
• Evaluate the accuracy of data sources and data gathering techniques and ensure data quality and integrity is maintained throughout the analytics process.
• Maintain documentation, user guides or training material, ensuring the consistent applicaiton of language and definitions.
• Collaborate across teams and functions to fully leverage data and enable transformative insights that drive sound business decisions.
• Stay updated on developments in data analytics and adjacent fields to ensure the latest techniques and methods are applied to enhance data analysis practices at Shoprite.

Qualifications

• Diploma or Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or related field – (essential).

Experience

• +1 years’ experience working as part of an agile, progressive data team, as a Data Analyst or similar role.
• Basic proficiency in data analysis tools and techniques (e.g., SQL, Excel, Python, R).
• Familiarity with data analysis concepts and methods.
• Ability to work with large datasets.
• Basic knowledge of Tableau and PowerBI for data visualisation.
• Working knowledge of SQL and relational databases – (advantageous).
• Experience working in an agile environment.

Knowledge and Skills

• Team player and collaborative partner - Works effectively across functions and as part of a multidisciplinary team. Is collaborative and able to build sound, professional relationships with internal and external stakeholders. Supports and mentors junior team members.
• Effective Problem Solver - Comfortable making decisions and solving problems independently. Demonstrates logical thinking and analytical skills to interpret data and derive insights.
• Storytelling (Effective Communication Skills) - Communicates data-driven insights effectively through compelling storytelling. Simplifies complex technical concepts to explain advantages or disadvantages. Creates visual reports that effectively communicate findings.
• Detailed, Organised, and Quality-Focused - Pays meticulous attention to detail when analysing and interpreting data. Able to coordinate own activities to deliver solutions within quality standards. Comfortable taking independent action to enable delivery.
• Critical, Analytical, Systems Thinking - Able to collect, organise and assimilate disparate, multiple and complex pieces of data to draw sound conclusions and arrive at optimal solutions, supporting business decision-making. Able to dig deep to reach the right metrics that can be optimised. Demonstrates logical thinking and analytical skills to interpret data and derive insights. Demonstrates an understanding of how one issue is part of a larger system.
• Results Driven - Self-motivated to meet and exceed goals, driving high performance and deliver results that contribute to business success. Energises and engages others to achieve valuable outcomes.
• Curious and Open to Learning - Actively seeks new knowledge and skills in data analytics. Finds agile and rapid ways of answering business questions and implementing solutions fast. Open to learning and developing new skills in data analysis and related technologies.
• Negotiation & Conflict Resolution - Capable of resolving conflicts and negotiating solutions in a collaborative environment. Resolves conflicts within teams or with stakeholders to maintain productive relationships.
• Effective Change Manager – Capable of managing implementation of new data processes or systems effectively. Adapts to changes and contributes to implementing new processes or technologies effectively.
• Ability to Work Under Pressure - Efficiently prioritizes work, balances competing priorities, and manages time effectively in in a high-volume, fast-moving environment.
• Commercial/Business Acumen - Understands how data impacts business success, focusing on commercial viability and profitability.