Senior Data Analyst: Rewards & Personalization

Role Purpose

The purpose of the Senior Data Analyst role is to lead the creation and execution of complex data analytics, leveraging Shoprite’s rich customer and transactional retail data assets to enable strategic insights and decision-making. The role provides guidance to more junior analysts in the team and oversees a portfolio of large and complex data analytics projects, providing technical expertise in solving a variety of use cases while working collaboratively in a cross-functional, agile team to guide, direct and shape complex data requirements, scenarios, models and frameworks. The Senior Data Analyst plays an integral role in building the analytics and data service offering within their domain to enable business to unlock data as a competitive advantage. The Senior Data Analyst is a conceptual and critical thinker and visual communicator with demonstrated understanding of how to translate commercial insights to derive meaning and value for the business.

Role Description

• Work closely with the Head: Data and Analytics and broader data and agile team to define the roadmap and long-term strategy for the data function
• Work with business stakeholders to understand and correctly frame analysis requirements, hypotheses and questions and propose fit-for-purpose and scalable data led solutions
• Work with business, technology and development teams and guide and direct the collection of the right data and application of the right analytical techniques to produce the right business insights
• Write complex and intricate business requirements/modifications to transform data into common and graphical formats and reports
• Design, code, debug, test, document and support applications consistent with established business requirements and specifications and lead post-implementation reviews
• Build comprehensive and compelling dashboards and reports and present analytical findings, using data visualisation techniques to tell insightful stories that enable business to make viable decisions, while tying performance and ROI to enterprise goals
• Support business managers to fully integrate and embed data to unlock strategic insights
• Identify and manage data challenges, proactively mitigate risks and deploy appropriate solutions
• Support in defining data quality standards and performance monitoring of data structures and models
• Guide the development of documentation, user guides or training material, ensuring the same language and definitions are applied
• Plan and prioritise data projects that span across the full range of data analytics, weighing business and technical trade-offs as required
• Support the team with complex problems or enhancements of dashboards, presentations or reports, requiring expertise and creativity
• Support the professional growth and development of data analysts and new team members through active coaching and mentoring
• Collaborate across teams and functions to fully leverage data and shift mindsets from facts and findings to transformative insights that drive sound business decisions
• Act as a domain expert, sharing updated knowledge and best practices with teams and cross-functional partners to ensure continual optimisation of analytical processes and designs

Qualifications and experience

• Degree or Diploma in Data Science, Computer Science, Information Technology, Information Systems or a related field

Essential

• +4 years’ experience working as part of an agile, progressive data team, ideally in a Data Analyst / Senior Data Analyst or similar role, with a proven track record of developing innovative analytics products and transforming datasets into strategic insights
• Extensive experience applying analytical formula, modelling and trend forecasting of large and multiple data sources across complex systems
• Extensive experience creating integrated dashboards and reports using data visualisation tools (e.g., Tableau, Power BI)
• Advanced knowledge and application of SQL and relational databases
• Experience working with retailer specific data (e.g. brand, customer, shopper, category, sales, promotions, pricing, channel, POS, payment / tender, store, stock and supply chain data)
• Experience working with and presenting insights to senior leadership
• Adept at coaching others on how to adopt best practices
• Strong proficiency in MS Word with an advanced level of Excel skill

Desired

• Knowledge of AWS cloud computing based solutions (Python / PySpark)