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Senior Data Analyst (customer Experience)

Build predictive models for cross-brand contact centre volumes and operational planning
Cape Town, Western Cape, South Africa
Senior
yesterday
Takealot

Takealot

Leading South African online retailer offering a wide range of products from electronics and appliances to books, toys, and household items.

Senior Data Analyst (Customer Experience)

Takealot.com, a leading South African online retailer, is looking for a highly talented Senior Data Analyst to join our team in Cape Town with a specific focus on Customer Experience.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won't be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Head: Customer Insights and Engagement.

Your Mission, Should You Choose To Accept It:

Budget Modelling & Financial Planning

  • Develop and maintain comprehensive budget models for Takealot Group Contact Centre operations across all brands
  • Create annual, quarterly, and monthly financial forecasts for contact centre costs and resource requirements
  • Build cost allocation models distributing shared services across Takealot.com, Sellers, Mr D, TFS etc.
  • Analyse cost per contact metrics and efficiency benchmarks across brands and channels
  • Support budget planning cycles with detailed financial analysis and scenario modelling
  • Track budget variance analysis and provide recommendations for cost optimisation

Cross-Brand Analytics & Optimisation

  • Analyse Cross-brand contact centre data, including contact volume patterns, trends, and drivers across all Group brands and channels
  • Build predictive models for contact volumes incorporating seasonality, promotions, and business events
  • Develop cross-brand benchmarking frameworks for performance, efficiency, and customer satisfaction
  • Create unified reporting dashboards showing Group-wide contact centre performance and trends
  • Analyse customer journey impacts on contact generation across different brand touchpoints
  • Identify opportunities for economies of scale and shared service optimisation

Strategic Forecasting & Planning

  • Produce long-term strategic forecasts for contact centre growth and evolution (1-3 year horizon)
  • Model the impact of business initiatives, new product launches, and market expansion on contact volumes
  • Analyse seasonal patterns and special events' impact across all brands for strategic planning
  • Support strategic decisions on contact centre footprint, technology investments, and capability development
  • Create scenario planning models for business growth, market changes, and operational scaling
  • Develop capacity planning models linking customer growth projections to resource requirements

Performance Analytics & Insights

  • Develop Group-wide KPI frameworks and performance measurement systems
  • Analyse agent productivity, efficiency metrics, and performance trends across brands
  • Build customer satisfaction analytics linking CSAT/NPS to operational performance across channels
  • Create executive dashboards and reports for senior leadership and brand management
  • Conduct deep-dive analyses on operational challenges and improvement opportunities
  • Monitor industry benchmarks and best practices for contact centre operations
  • Build customer segmentations, enabling agents to make more informed decisions

Data Governance & Collaboration

  • Establish data standards and definitions for cross-brand contact centre analytics
  • Collaborate with Senior Capacity Planner to ensure operational and strategic analytics alignment
  • Partner with Finance teams on budget planning, cost allocation, and financial reporting
  • Work with business unit teams to understand unique business drivers and operational requirements
  • Ensure data quality and consistency across all brand contact centre systems
  • Document analytical methodologies and maintain knowledge management systems
  • Lead change management initiatives for cross-brand process standardisation

Qualifications and Experience:

  • Postgraduate degree (Honours, Masters, or higher) in Statistics, Mathematics, Computer Science, Economics, Business Analytics or related quantitative field with a strong analytical and research methodologies foundation
  • Professional certification in financial planning, business analysis, or data analytics
  • Contact centre management or customer experience certification (advantageous)
  • 5-7 years of experience in commercial analytics, customer experience analysis, or contact centre analytics with demonstrable impact on business outcomes
  • Proven experience working with large, complex customer datasets and building predictive business models
  • Background in customer service analytics, ticket analysis, contact centre performance measurement, or contact reduction initiatives
  • Experience working with contact centre operations and understanding customer experience metrics
  • Experience in multi-brand or complex organisational environments
  • E-commerce, retail, or digital marketplace customer service environment experience strongly preferred
  • Proven track record in budget variance analysis and cost optimisation delivery
  • Experience with growth target setting and performance accountability reporting
  • Experience collaborating cross-functionally across teams, including customer service, finance, marketing and operations
  • Experience leading analytical projects and influencing senior stakeholders
  • Change management experience in implementing standardisation across multiple business units

Skills, Knowledge and Abilities Required:

Financial & Analytical Skills

  • Advanced financial modelling and budget planning expertise
  • Cost accounting and allocation methodology experience
  • Forecasting and predictive modelling capabilities (time series, regression, scenario analysis)
  • Advanced Excel/Google Sheets with complex financial models and macros
  • Advanced statistical forecasting techniques and hypothesis testing

Data & BI Skills

  • Advanced SQL and R or Python
  • Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
  • Data visualisation and executive dashboard development
  • Experience with large datasets and data warehouse environments

Business Skills

  • Strategic planning and scenario modelling with long-term business impact assessment
  • Cross-brand and multi-business analysis with standardisation and optimisation focus
  • Executive presentation and communication skills with senior leadership influence capability
  • Process improvement and optimisation methodologies
  • Project management and stakeholder coordination across complex organisational structures
  • Change management and process standardisation experience in multi-brand environments
  • Industry knowledge of e-commerce customer service trends and best practices

Attributes Required:

  • Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
  • Deep understanding of contact centre data, business models, and operational metrics
  • Strategic thinking capabilities linking analytical insights to business strategy and competitive advantage
  • Ability to synthesise complex, multi-source data into actionable business recommendations
  • Change management skills for implementing cross-brand standardisation and process improvements
  • Understanding of customer journey analytics, omnichannel experience, and e-commerce customer behaviour
  • Exceptional storytelling and presentation skills with the ability to influence senior stakeholders and drive decision-making
  • Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
  • Executive presence and ability to communicate complex analytical concepts to non-technical audiences
  • Strong documentation mindset with focus on process improvement, automation, and knowledge management
  • Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
  • Ability to manage multiple competing priorities while maintaining quality and accuracy standards
  • Can-do attitude with high energy, bias toward action, and passion for brand excellence and customer satisfaction

The Environment:

  • Takealot.com employees are entrepreneurial and dynamic, smart, customer-centric, fun and have the shared ambition of takealot.com being the leading e-commerce company in Africa.
  • We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve.
  • We are short on ego and high on output.
  • We are doers and not only thinkers, it's all in the execution after all.
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Senior Data Analyst (customer Experience)
Cape Town, Western Cape, South Africa
Customer Success
About Takealot
Leading South African online retailer offering a wide range of products from electronics and appliances to books, toys, and household items.