Senior Manager Analytics

7 days ago


Cape Town, Western Cape, South Africa Pick n Pay Full time

It's fun to work in a company where people truly BELIEVE in what they're doing

To lead the analytics and data science function, delivering advanced analytical insights, predictive models, and other
AI/ML solutions that drive commercial impact, operational efficiency, and customer engagement for Pick n Pay.

This role is accountable for:

Building and managing a high-performing team of analysts and data scientists.
Overseeing the analytics and data science roadmap.
Implementing a demand process for analytics and data science requests.
Ensuring the effective embedding of insights into decision-making across the organisation.
The Senior Manager works closely with business stakeholders to identify opportunities, scope analytical projects, and measure value delivered.
  • Minimum: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
  • Preferred: Master's or PhD in a quantitative discipline; certifications in AI/ML or advanced analytics tools (e.g. Python, R).
  • Minimum: 8+ years in analytics or data science, with at least 3 years in a leadership role.
  • Preferred:
    • Retail/FMCG analytics experience
    • Proven delivery of predictive and prescriptive analytics solutions at scale
    • Experience managing hybrid teams and multiple concurrent projects
    • Strong commercial acumen
    • Proficiency in analytics tools and technologies including Snowflake, Microsoft SQL Server, Python, Power BI, BigQuery, Redshift or comparable platforms.
    • Working knowledge of statistical modelling, machine learning, and advanced analytics foundations such as regression, decision trees, random forests, gradient boosting, clustering, feature engineering, cross-validation
    • Git basics – code review and collaboration
    • Experience turning raw data into actionable insights through advanced modelling.
Key Responsibilities
  • Define and execute the analytics & data science strategy, aligned to enterprise data objectives and business priorities.
  • Lead the development, deployment, and maintenance of predictive models (price elasticity and optimization, promo effectiveness, demand forecasting), customer segmentation and recommendation systems to enable proactive decision making across the organization.
  • Lead experimentation practices such as A/B testing, control group design and causal inference to validate
    impact before scaling solutions
  • Ensure ethical, transparent, and privacy-compliant use of AI/ML techniques.
  • Partner with business units to embed insights into decision-making and measure impact on KPIs.
  • Collaborate with Data Engineering and Reporting teams to ensure timely access to quality data for analysis and model development
  • Define and oversee end-to-end data science project lifecycles — from problem framing to deployment.
  • Review methodologies, model designs, and analysis approaches for technical soundness
  • Ensure reproducibility, proper documentation, and adherence to best practices
  • Plan, prioritize, communicate, and coordinate projects and resources
  • Promote data and AI literacy and analytical capability across the organization.
  • Stay abreast of emerging analytics and AI/ML trends, technologies, and best practices, and apply them where relevant.
  • Manage external partnerships and vendor relationships for advanced analytics tools and platforms.
  • Lead, mentor, and develop a skilled team of analysts and data scientists.

Competencies

  • Cognitive: Strategic thinking, Analytical capability, Problem solving, Judgement & decision-making.
  • Personal: Drive, Curiosity, Resilience, Accountability.
  • Interpersonal: Stakeholder engagement, Collaboration, Influence.
  • Communication: Data storytelling, Executive presentation, Negotiation.
  • Functional: Advanced analytics, Data science, Machine learning, AI, Statistical modelling, Data visualisation, Experiment design.
  • Leadership: Team leadership, Capability building, Change management.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

Discover who we are



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