Active Jobs at Pick n Pay Stores Limited

• The Finance Administrator is responsible for maintaining the General Ledger and ensuring accurate records to the point of providing the trial balance for reporting purposes.
• This includes tasks related to financial reporting, analysis and compliance i.e. performing critical reconciliation and ensuring reoccurring and adjustment journals.

Minimum requirements

• Matric / Grade 12
• 2 - 5 years' experience in general accounting or related fields
• Proven computer literacy
• Prove excel proficiency
• 2 - 5 years SAP Experience

Competencies

• Excellent attention to detail and accuracy
• Strong analytical, logical, and problem-solving skills
• Ability to prioritise tasks and work under demanding deadlines
• Excellent communication and interpersonal skills
• High level of integrity and discretion when handling sensitive information
• Self-motivated and customer orientated
• Ability to work as part of a team and individually
• Ability to use own discretion and make recommendations to support continuous improvement
• Proven flair for figures and problem solving

​​​​​​​Key Responsibilities

Reporting   

• Ensure contractual costs are accounted for in management account – check that it is in line with SLA
• Process the allocations of relevant expenses to the respective business units within the company
• Report on the allocations in relation to the completeness, timelines and cycles as well as exceptions together with changes
• Ensure that accruals are complete and current within the correct reporting period
• Ensure that the respective expenses are recorded in the management account to the correct profit center and general ledger
• Produce required reports for various areas in the business based on
• requirements and business focus areas
• Distribute exception reporting to the business for entries that will affect the management account as result of changes in postings and allocations

Compliance

• Ensure the line items (Expenses and Income) are recorded in line with accounting practices
• Manage purchase order process by ensuring that orders are generated timeous and to the correct general ledger and profit center
• Ensure that costs are accounted for to the correct general ledger within the correct reporting period
• Process journals and intercompany journals for complex entries – expenses and accruals
• Process accrual reversal, ensuring that no old accruals remain and that valid open accruals are in place

Communication

• Manage the open orders within the business to ensure we have the expenses accounted for, liabilities incurred from services rendered, and goods (assets) delivered
• Communicate queries that arise from incorrect reporting that may occur with
• incorrect PO creation or invoice posting
• Provide commentary on expense general ledger to budget variance and growth against last year
• Provide commentary on accruals when checking the movement against
• previous year and prior month to ensure that there is no unaccounted liability
• Assist store manager with their expense line items that feedback into the P&Ls

​​​​​​​Closing date: 19th December 2025

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• The Head of Department for Mobile at Pick n Pay is a key leadership role responsible for driving Cellular and Mobile (MVNO) product & partnership development and growth, innovation, sales management, buying and demand planning and staff development within the Mobile department.
• This role plays a crucial part in shaping the strategic growth of Pick n Pay by leveraging mobile technologies and services to enhance customer experience and drive business objectives.
• Bachelor's degree in Business Administration, Marketing, or a related field.
• Minimum of 8-10 years of experience in mobile telecommunications, retail, or related industries, with at least 3-5 years in a leadership or managerial role.
• Proven track record of success in partnership development, innovation, and sales management.
• Strong analytical skills and the ability to translate data insights into actionable strategies.
• Excellent communication, negotiation, and relationship-building skills.
•  Strategic mindset with the ability to think creatively and drive results in a fast-paced, dynamic environment.

Competencies:

• Agility: Quickly adapts to changing market conditions and business priorities, maintaining effectiveness under pressure.
• Resilience: Remains focused and positive in the face of setbacks, using challenges as opportunities to learn and improve.
• Collaboration: Actively seeks input from others, values diverse perspectives, and builds strong cross-functional relationships.
• Accountability: Takes ownership for decisions and outcomes, following through on commitments and learning from mistakes.
• Customer Centricity: Consistently considers the customer’s perspective in decision-making and problem-solving.
• Ethical Judgement: Acts with integrity, transparency, and fairness in all business dealings.
• Continuous Learning: Proactively seeks feedback and development opportunities, staying current with industry trends and best practices.
• Influence: Persuades and motivates others through clear communication and well-reasoned arguments, even without direct authority.

Revenue and PnL Management:

• Drive revenue growth and manage the profit and loss (PnL) for the Mobile division, continually seeking opportunities for optimization.

Product & Partnership Development and Management:

• Identify and define the optimum product set across handsets, accessories, sim cards & PnP Mobile (MVNO) to grow the business PnL
• Manage strategic partnerships with mobile service providers, handset manufacturers, and other relevant stakeholders.
• Collaborate with partners to develop innovative solutions and offerings that meet the evolving needs of customers and drive business growth.
•  Build and maintain strong relationships with key partners to ensure alignment and effective collaboration.
• Foster a strong collaboration with key stakeholders inside of Pick n Pay, who will deliver the end results of the business model (marketing, retail operations, IT, VAS Trade & Ops 

​​​​​​​Innovation:

• Lead the development and implementation of innovative mobile solutions and services that differentiate Pick n Pay in the marketplace.
• Stay abreast of industry trends, emerging technologies, and customer preferences to drive continuous innovation and improvement.
• Champion a culture of creativity, experimentation, and risk-taking within the Mobile department.

​​​​​​​Sales Management Activities:

• Develop and execute sales strategies across PnP Estates, to drive revenue growth and achieve departmental targets.
• Analyze sales data and market trends to identify opportunities for optimization and expansion.
• Monitor sales performance and implement initiatives to enhance customer acquisition, retention, and satisfaction.
• Provide management intelligence (reporting) to the Executive and business leadership

​​​​​​​Buying and Demand Planning:

• Oversee the buying and demand planning process for mobile devices, accessories, and related products.
• Collaborate with vendors and internal stakeholders to ensure optimal product assortment, pricing, and availability.
• Develop and implement inventory management strategies to minimize stockouts and excess inventory.

​​​​​​​Staff Development and Management:

• Recruit, train, and mentor a high-performing team of mobile specialists and support staff.
• Set clear performance expectations and provide ongoing feedback and coaching to support individual and team development.
• Foster a culture of collaboration, innovation, and customer focus within the Mobile department.

​​​​​​​Compliance and Channel Execution:

• Ensure compliance with all relevant regulations, policies, and standards governing sales and distribution operations.
• Monitor channel performance and identify areas for improvement in execution and efficiency.
• Implement robust processes and controls to mitigate risks and maintain high levels of operational excellence.

End Date: December 19, 2025 

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• To process transactions using our POS system, handling cash, giving refunds, and balancing the till. Maintain clean working environment, upsell products and services where appropriate, resolve complaints, and ensure high levels of satisfaction
• Numeracy
• Communication
• Execution Process Instruction
• Customer Orientation
• Time Management
• Ethical Behaviour
• Flexibility
• Minimum Grade 10 is essential (Grade 12 Advantageous)

Key Responsibilities:

• Prepare and manage the float
• Operate the till and scanner correctly and speedily when checking out the customer’s purchases
• Receive and process all forms of payment and transactions during checkout
• Prevent wastage/shrinkage/damages
• Maintain hygiene, housekeeping and safe working standards
• Adhere to and maintain security procedures
• Operate and clean equipment according to laid down standards
• Interact with customers and respond to their queries in a courteous manner
• to process transactions using our POS system
• Handing cash
• refunds and balancing the till
• Maintain clean working environment
• Resolve complains and ensure high levels of customer satisfaction

End Date: December 22, 2025

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• 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.

End Date: December 24, 2025