About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Fraud and Risk to join our Cape Town Data Science team. In this role, you'll be at the forefront of protecting our affiliate marketing ecosystem by researching, developing, and deploying ML models that detect and prevent fraud across attribution, lead quality, and partner compliance. You'll work on high-impact problems spanning traditional fraud patterns and emerging threats—from attribution manipulation to browser extension abuse—while building production systems that scale. This is an opportunity to combine rigorous analytical work with tangible business impact in a fast-moving, adversarial domain.

Core Responsibilities

Research & model development

• Conduct R&D on fraud detection and risk monitoring across the digital advertising ecosystem, including attribution fraud, lead fraud, click injection, browser extension abuse (e.g., Honey-style coupon hijacking), brand safety violations, and creator authenticity verification.
• Design, prototype, and validate ML models and rule-based systems for fraud detection, partner risk scoring, compliance monitoring, and trust & safety workflows.
• Research and apply graph-based fraud detection techniques (community detection, link analysis, behavioral clustering) and explore graph database applications for modeling relationships between users, devices, transactions, and partners to uncover coordinated fraud rings and suspicious network patterns.
• Stay ahead of emerging fraud patterns through continuous learning—monitoring industry trends, reviewing academic literature, exploring data for novel anomalies, and collaborating closely with Product, Compliance, and Trust & Safety teams.

Production deployment & iteration

• Deploy Fraud and Risk ML models to production; own the end-to-end delivery from ETL, feature engineering, model training, deployment, to monitoring.
• Iterate on live models by adding new features, improving performance (precision/recall/F1), and reducing false positives.
• Partner with MLOps and Engineering to ensure models are robust, scalable, and production-ready (testing, alerts, drift monitoring, retraining pipelines).

Data analytics & insights

• Perform deep-dive analyses on fraud trends, partner behavior, and risk patterns to inform model strategy and business decisions.
• Translate analytical findings into actionable recommendations for Product, Marketing, and Finance stakeholders.
• Build dashboards and reports to communicate model performance, fraud impact, and risk metrics to leadership.

Cross-functional collaboration

• Work closely with Product, Engineering, Compliance, and Finance to scope requirements, prioritize work, and align on success metrics.
• Communicate technical work clearly to non-technical audiences; present findings and tradeoffs in planning forums and reviews.
• Contribute to a culture of experimentation, documentation, and knowledge sharing within the Data Science team.

Requirements

Essential

• Experience: 5+ years in data science, ML, or advanced analytics, with at least 2+ years focused on fraud detection, risk modeling, or anomaly detection in production environments.
• Fraud & risk domain expertise: Demonstrated experience building and deploying fraud or risk models (classification, anomaly detection, time-series analysis, graph-based methods).
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, or similar).
• Experience with feature engineering, model evaluation (ROC/AUC, precision-recall, cost-sensitive learning), and handling imbalanced datasets.
• Familiarity with production ML workflows (versioning, monitoring, A/B testing, model retraining).
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, and interpret results with business context.
• Communication: Ability to translate complex technical work into clear insights for stakeholders; experience presenting to cross-functional teams.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience in affiliate marketing, ad tech, or e-commerce fraud (attribution fraud, click fraud, lead validation, coupon abuse).
• Familiarity with browser extension detection, fingerprinting, or device/user identity resolution.
• Experience with graph analytics or network-based fraud detection (community detection, link analysis, behavioral clustering).
• Knowledge of privacy-preserving ML techniques or working with privacy-constrained data.
• Experience with real-time or near-real-time scoring and low-latency deployment (e.g., REST APIs, streaming pipelines).
• Familiarity with GCP tools (BigQuery, Vertex AI, Cloud Run) and/or Databricks/Spark for large-scale data processing.
• Exposure to rule engines, decision trees, or hybrid rule-ML systems for compliance and risk workflows.

What sets you apart

• Adversarial thinking: You understand how fraudsters operate and can anticipate evasion tactics and evolving attack vectors.
• Pragmatic delivery: You balance rigor with speed, prioritizing MVPs and iterative improvement over perfection.
• Business impact orientation: You focus on measurable outcomes (fraud loss reduction, false positive rates, operational efficiency) and communicate ROI clearly.
• Comfort with ambiguity: You thrive in evolving problem spaces, defining your own roadmap when fraud patterns shift or new threats emerge.
• Collaboration and influence: You build trust across teams and can drive adoption of your models through enablement, documentation, and clear storytelling.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Analyst to join our team in Cape Town with a specific focus on TakealotMORE & Cross Group.

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:

TakealotMORE Analytics

• Own subscription growth forecasting, including detailed component-level predictions (free-to-paid conversions, reactivations, cancellations, tier migrations)
• Create and maintain dashboards and reports tracking subscription KPIs, member behaviour, and service utilisation
• Collaborate with data engineering teams to improve subscription attribution measurement and reporting
• Conduct root-cause analyses of subscription metric variances and performance changes
• Analyse subscription customer lifetime value, retention patterns, and churn drivers
• Develop data-driven recommendations for subscriber growth strategies and retention initiatives
• Build predictive models to identify at-risk subscribers and growth opportunities
• Design and analyse A/B tests to optimise subscription experience and conversion funnels

Cross Group Analytics 

• Own cross-platform growth forecasting, including detailed component-level predictions
• Develop and maintain attribution frameworks for cross-platform customer journeys and acquisition paths
• Create and maintain dashboards and reports tracking cross-platform rates, attribution and customer behaviour across cohorts.
• Investigate cross-platform performance issues and variances through root-cause analysis
• Conduct cohort analyses, tracking customer behaviour and value creation across the ecosystem
• Map customer interactions across Takealot and Mr D to identify cross-selling and migration opportunities
• Create actionable customer segmentation strategies for targeted marketing and product initiatives

TakealotMORE & Cross Group Marketing Performance 

• Measure and optimise marketing campaign performance across the full funnel for TakealotMORE and cross-platform initiatives
• Drive ROAS (Return on Ad Spend) optimisation recommendations for marketing investments
• Establish marketing performance accountability frameworks with measurable growth targets
• Conduct comprehensive new subscriber and customer acquisition analytics, including acquisition cost and performance optimisation
• Track and optimise cross-platform marketing attribution and impact
• Develop marketing attribution frameworks to track customer acquisition and conversion across subscription marketing channels
• Create marketing performance dashboards tracking campaign-driven subscription metrics and acquisition patterns
• Conduct competitive intelligence analysis to inform cross-group marketing strategies and positioning
• Develop and maintain marketing budget allocation frameworks and ROI measurement standards
• Lead marketing performance reviews and accountability reporting across the group

Strategic Analysis & Collaboration

• Collaborate with data engineering and analysts in the business units to ensure data quality, accessibility and correct attribution measurement
• Partner with Marketing, Product, and Technology teams on cross-platform growth and marketing optimisation
• Prioritise and manage analytics/BI requests and backlog; produce executive reports for marketing and growth performance
• Document analytical methods, technical specifications and processes; drive process improvement and knowledge management
• Lead analytical strategy and methodology development across TakealotMORE and Cross Group initiatives
• Present findings and recommendations to senior stakeholders, including marketing leadership and C-suite

Qualifications and Experience:

• Relevant postgraduate qualification in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5-7 years of analytical experience in commercial analytics, management consulting, market research, or similar roles
• Experience with growth target setting and performance accountability reporting
• Experience handling large datasets and building business models
• Experience with subscriptions and/or cross-platform businesses
• Experience developing marketing performance frameworks and accountability systems
• Retail/e-commerce or data science exposure is beneficial
• Experience in cross-functional collaboration with marketing, product, and technology teams
• Marketing analytics experience, including campaign performance, attribution modelling, and ROAS optimisation

Skills, Knowledge and Abilities Required:

Core Technical Skills

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Google Analytics expertise and certification advantageous
• Advanced statistical methods, hypothesis testing, experimental design, and research methodology
• Machine learning techniques, forecasting model development, and advanced modelling techniques

Marketing & Analytics Expertise

• Marketing attribution modelling and cross-channel attribution
• Customer journey analytics, LTV modelling, cohort analysis, segmentation
•  A/B testing design and analysis for both product and marketing initiatives
• ROAS analysis and marketing performance measurement
• Marketing automation platforms and MarTech stack management
• Brand tracking and market research methodologies
• Marketing performance framework development and accountability system design
• Budget optimisation and allocation modelling
• Customer acquisition cost modelling and optimisation

Business & Presentation

• Advanced presentation skills with Google Workspace (Sheets, Slides)
• Executive dashboard development and visual storytelling
• Strong data extraction/manipulation and technical documentation
• Marketing technology integration and process optimisation
• Ability to manage multiple analytical projects and stakeholder requests simultaneously
• Deep understanding of digital commerce KPIs, conversion funnels, and customer acquisition

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of e-commerce, subscription, and marketplace business models 
• Marketing performance accountability expertise with framework development capabilities
• Exceptional storytelling and presentation skills with the ability to influence stakeholders 
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Ability to connect analytical insights to business strategy and drive data-driven decision making
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Can-do attitude with high energy, bias toward action, and passion for brand and customers

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. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Analyst to join our team in Cape Town with a specific focus on TakealotMORE & Cross Group.

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:

TakealotMORE Analytics

• Own subscription growth forecasting, including detailed component-level predictions (free-to-paid conversions, reactivations, cancellations, tier migrations)
• Create and maintain dashboards and reports tracking subscription KPIs, member behaviour, and service utilisation
• Collaborate with data engineering teams to improve subscription attribution measurement and reporting
• Conduct root-cause analyses of subscription metric variances and performance changes
• Analyse subscription customer lifetime value, retention patterns, and churn drivers
• Develop data-driven recommendations for subscriber growth strategies and retention initiatives
• Build predictive models to identify at-risk subscribers and growth opportunities
• Design and analyse A/B tests to optimise subscription experience and conversion funnels

Cross Group Analytics 

• Own cross-platform growth forecasting, including detailed component-level predictions
• Develop and maintain attribution frameworks for cross-platform customer journeys and acquisition paths
• Create and maintain dashboards and reports tracking cross-platform rates, attribution and customer behaviour across cohorts.
• Investigate cross-platform performance issues and variances through root-cause analysis
• Conduct cohort analyses, tracking customer behaviour and value creation across the ecosystem
• Map customer interactions across Takealot and Mr D to identify cross-selling and migration opportunities
• Create actionable customer segmentation strategies for targeted marketing and product initiatives

TakealotMORE & Cross Group Marketing Performance 

• Measure and optimise marketing campaign performance across the full funnel for TakealotMORE and cross-platform initiatives
• Drive ROAS (Return on Ad Spend) optimisation recommendations for marketing investments
• Establish marketing performance accountability frameworks with measurable growth targets
• Conduct comprehensive new subscriber and customer acquisition analytics, including acquisition cost and performance optimisation
• Track and optimise cross-platform marketing attribution and impact
• Develop marketing attribution frameworks to track customer acquisition and conversion across subscription marketing channels
• Create marketing performance dashboards tracking campaign-driven subscription metrics and acquisition patterns
• Conduct competitive intelligence analysis to inform cross-group marketing strategies and positioning
• Develop and maintain marketing budget allocation frameworks and ROI measurement standards
• Lead marketing performance reviews and accountability reporting across the group

Strategic Analysis & Collaboration

• Collaborate with data engineering and analysts in the business units to ensure data quality, accessibility and correct attribution measurement
• Partner with Marketing, Product, and Technology teams on cross-platform growth and marketing optimisation
• Prioritise and manage analytics/BI requests and backlog; produce executive reports for marketing and growth performance
• Document analytical methods, technical specifications and processes; drive process improvement and knowledge management
• Lead analytical strategy and methodology development across TakealotMORE and Cross Group initiatives
• Present findings and recommendations to senior stakeholders, including marketing leadership and C-suite

Qualifications and Experience:

• Relevant postgraduate qualification in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5-7 years of analytical experience in commercial analytics, management consulting, market research, or similar roles
• Experience with growth target setting and performance accountability reporting
• Experience handling large datasets and building business models
• Experience with subscriptions and/or cross-platform businesses
• Experience developing marketing performance frameworks and accountability systems
• Retail/e-commerce or data science exposure is beneficial
• Experience in cross-functional collaboration with marketing, product, and technology teams
• Marketing analytics experience, including campaign performance, attribution modelling, and ROAS optimisation

Skills, Knowledge and Abilities Required:

Core Technical Skills

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Google Analytics expertise and certification advantageous
• Advanced statistical methods, hypothesis testing, experimental design, and research methodology
• Machine learning techniques, forecasting model development, and advanced modelling techniques

Marketing & Analytics Expertise

• Marketing attribution modelling and cross-channel attribution
• Customer journey analytics, LTV modelling, cohort analysis, segmentation
•  A/B testing design and analysis for both product and marketing initiatives
• ROAS analysis and marketing performance measurement
• Marketing automation platforms and MarTech stack management
• Brand tracking and market research methodologies
• Marketing performance framework development and accountability system design
• Budget optimisation and allocation modelling
• Customer acquisition cost modelling and optimisation

Business & Presentation

• Advanced presentation skills with Google Workspace (Sheets, Slides)
• Executive dashboard development and visual storytelling
• Strong data extraction/manipulation and technical documentation
• Marketing technology integration and process optimisation
• Ability to manage multiple analytical projects and stakeholder requests simultaneously
• Deep understanding of digital commerce KPIs, conversion funnels, and customer acquisition

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of e-commerce, subscription, and marketplace business models 
• Marketing performance accountability expertise with framework development capabilities
• Exceptional storytelling and presentation skills with the ability to influence stakeholders 
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Ability to connect analytical insights to business strategy and drive data-driven decision making
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Can-do attitude with high energy, bias toward action, and passion for brand and customers

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. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

This position reports to the International and 4PL Supply Chain Manager

Your responsibilities can include:

• To analyze and understand project scope and core objectives
• Lead requirements elicitation workshops with stakeholders to define high level business requirements
• Assist stakeholders to prioritize the requirements
• Plan and lead workshops with stakeholders and technical resources to elicit detailed, low level functional requirements
• Critically evaluate information gathered from multiple sources, reconcile conflicts, break down high-level information into their constituent details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true business needs
• Collaborate with technical lead and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs
• Proactively communicate and collaborate with project team to analyze information needs and
• functional requirements to deliver the following artifacts as needed:
  ● Business/functional requirement specification
  ● Wireframes Workflow / process flow diagrams
  ● Data Model/s
  ● Obtain sign-off on the specifications
  ● Be proactive in ensuring that the development and QA teams understand the requirements by attending daily team meetings and initiating functional clarification sessions where needed
• Be the liaison between the business and the engineering team
• Project manage the implementation of selected project initiatives
• Review the test plan and test scripts to ensure quality and coverage Performing user acceptance testing
• Creating and maintaining operational reports on Looker, Looker Studio
• The purpose of a business analyst is to bridge the gap between stakeholders and the development team, interpreting business requirements into understandable development tasks to match a final software product with the expected business value

Qualifications and experience:

• A bachelor’s degree in Information Systems or Computer Science , Business Management, Commerce ,or similar degree
• 3-5 years experience in business analysis or product management or a related field
• Data Visualization: building and maintaining dashboards using tools such as Tableau, Looker, or Power BI
• Experience working with Google BigQuery (GBQ)
• Experience with SQL (advantageous)

Attributes required :

• Solutions-oriented, can-do attitude and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Passion for understanding ambiguous, complex problems and driving high quality, innovative, clean solutions
• Versatile and with an appetite to learn by doing
• Highly structured thinker with strong attention to detail
• Ability to handle multiple competing priorities in a fast-paced environment
• Excellent verbal and written communication skills with the ability to present complex
• Information in a clear and concise manner to a variety of audience, including technical and no - technical individuals

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

More than just a job, we offer: 

A culture that celebrates individual uniqueness while championing the strength of togetherness. Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

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. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

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. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Your Role at impact.com:

Impact's analytics team is looking for a Senior Data Analyst ready to lead strategic analytical initiatives, apply rigorous decision science methods, and influence business decisions at the executive level. As the business grows, we increasingly rely on rigorous analysis, experimentation, and evidence-based recommendations to inform strategic decisions across the organisation.

As a Senior Data Analyst, you'll lead cross-functional analytical initiatives, apply structured analytical approaches to measure business impact, and translate complex findings into compelling executive narratives. You'll partner with stakeholders across product, operations, finance, and marketing to drive strategic decisions with measurable business outcomes. You'll work as part of a collaborative, globally distributed analytics team, partnering closely with Analytics Engineers, Data Platform Engineers, and stakeholders across Product, Operations, Finance, and Marketing. Our ideal candidate combines strong analytical skills with business acumen

What You'll Do:

• Lead cross-functional analytical initiatives spanning multiple business domains, delivering insights that directly influence strategic decisions.
• Conduct analysis of large, complex datasets to identify patterns, trends, correlations, and anomalies that drive business value.
• Design and apply experiments and causal inference methods to measure the impact of business changes rigorously and inform strategic decisions.
• Develop and maintain forecasting models, scenario analyses, and segmentation to support strategic planning and resource allocation.
• Design, develop, and maintain interactive dashboards and automated reports, ensuring they provide clear and actionable insights to stakeholders at all levels.
• Translate complex analytical findings into persuasive executive narratives and evidence-based recommendations with clear next steps and expected impact.
• Establish and enforce analytical standards that improve quality, rigour, and consistency across the analytics team.
• Mentor analysts across levels, building team capability and fostering a culture of analytical excellence.
• Facilitate cross-team consensus on analytical findings and methodology, navigating competing priorities and communicating trade-offs clearly.
• Define analytical requirements and validation criteria for data products; collaborate with analytics engineers to ensure production implementation meets analytical needs.

Required Skills & Experience:

• 5+ years of experience in data analysis or business intelligence
• Advanced SQL and strong Python or R programming skills
• Strong command of statistical methods including hypothesis testing, power analysis, confidence intervals, regression, and uncertainty quantification
• Experience with experimentation design, A/B testing, and causal inference methods such as difference-in-differences or propensity matching
• Strong data analysis, visualisation, and storytelling skills
• Experience with forecasting, segmentation, and analytical modelling
• Hands-on experience with data visualisation and BI tools such as Looker, Tableau, Power BI, or similar
• Experience with Google Cloud Platform, BigQuery, or similar cloud analytics platforms
• Proven track record of influencing strategic decisions through analysis with measurable business outcomes
• Experience leading cross-functional analytical initiatives and managing analytics projects
• Strong verbal and written communication skills, with the ability to present to executive audiences
• Experience mentoring junior and mid-level analysts
• Proficiency with version control (Git) for reproducible, maintainable analytical work
• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related field is a plus
• Experience in the digital marketing technology industry is a plus

Benefits:

• Hybrid, Casual work environment
• Responsible PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both

• Training & Development
• Learning the advanced partnership automation products
• Medical Aid and Provident Fund 
• Group schemes with Discovery & Bonitas for medical aid
• Group scheme for provident fund
• Restricted Stock Units
• 3-year vesting schedule pending Board approval
• Internet Allowance
• Fitness club fee reimbursementsTechnology stipend 
• Primary Caregiver Leave
• Mental  Health and Wellness Benefit - Including 12 Therapy/Coaching sessions + Dependent coverage 

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI-CapeTown_Hybrid

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Your Role at impact.com:

impact.com's Analytics Data Platform processes terabyte-scale data for one of the world's leading partnership SaaS platforms, covering the full lifecycle from ingestion to governed access.

We're looking for a technical people leader to own and grow the Data Platform Engineering team, while driving the architecture, reliability, and evolution of impact.com's Analytics Data Platform. This is a senior player-coach role: you'll combine hands-on technical leadership with direct people management, building a high-performing team, owning delivery, and shaping platform strategy. Expect to spend roughly 40% hands-on and 60% on leadership, people, and delivery, shifting as the team matures. You'll be accountable for both the team's output and its people, ensuring engineers are supported, challenged, and growing.

As Team Lead for Data Platform Engineering, you'll work across the full data ecosystem (ingestion, processing, storage, orchestration, access, and governance) using technologies like Scala, Python, Google Cloud Dataproc, BigQuery, and Airflow. You'll shape the operating model for the team, establish engineering standards, and drive platform strategy. This role is levelled at Senior/Staff Engineer on the engineering management track and reports to the Director of Advanced Analytics. The position is based in Cape Town, hybrid, with one day per week in office.

Data Platform Engineering is one of four sub-teams within the Data Analytics Group (DAG). DPE owns ingestion, infrastructure, orchestration, and platform services. Analytics Engineering owns the dbt transformation layer and semantic layer. Data Analytics owns reporting and insights. Data Product Management owns product roadmaps and governance processes. You'll partner closely with all three, but won't own dbt models, reporting, or product prioritisation directly.

Our ideal candidate combines distributed systems expertise with proven people leadership. Someone who can make architecture decisions, run a team, and translate platform trade-offs into business language. This role is for someone who wants to build both a platform and a team, not just maintain what exists.

What you'll inherit:

The platform has strong foundations: Scala/Spark pipelines processing TB-scale data, 37+ Fivetran connectors, Airflow on Astronomer for orchestration, a mature dbt-based transformation layer, and BigQuery as the core analytical warehouse. Databricks is part of the current stack but is being transitioned off in favour of Dataproc and BigQuery-native patterns. What's greenfield: governance frameworks, data contracts, SLOs/SLAs, observability, cost management, and data quality monitoring. You'll build the team that delivers on these opportunities.

What you'll do:

• Build and run a team of data platform engineers: set direction, remove blockers, give honest feedback, and make sure people are growing in their careers.
• Create an environment where engineers do their best work: high trust, high standards, low friction.
• Turn platform strategy into a delivery plan the team can actually execute: sequence the work, balance new builds against keeping the lights on, and make the trade-offs visible.
• Own capacity and priorities across the team. Keep cross-team dependencies from becoming bottlenecks.
• Lead platform architecture decisions, design reviews, and cross-org technical coordination, defining and promoting architectural patterns, standards, and guidelines.
• Design and implement scalable pipelines using Scala, Python, and distributed frameworks (Spark on Dataproc) processing TB-scale data. Lead the migration off Databricks onto Dataproc and BigQuery-native patterns.
• Establish platform reliability practices: define SLOs/SLAs, build incident management and response processes, and drive systemic improvements across pipeline and infrastructure operations.
• Design and maintain core platform services (Dataproc clusters, BigQuery datasets, Cloud Storage) and optimise platform performance and cost at scale.
• Build and operationalise data governance, security, and compliance capabilities, including data contracts, access controls, and audit logging. Many of these practices are greenfield; you will be building them from scratch.
• Define and evolve team rituals, operating cadences, and engineering standards: code review norms, documentation practices, on-call fairness, and knowledge sharing.
• Represent the team to senior leadership and act as the single point of accountability for the team's commitments to cross-functional partners (analytics engineering, data analytics, product, finance).
• Own data source integrations and data quality across the platform, including third-party connectors (e.g. Fivetran), custom Scala/Spark ingestion pipelines, dbt orchestration via Airflow and Astronomer Cosmos, and quality monitoring and remediation practices.

Required Skills & Experience:

• 7+ years of experience in data platform engineering, data engineering, or distributed systems, including 2+ years leading engineering teams
• Strong programming skills in Scala and Python, including functional Scala patterns (cats-effect / Typelevel ecosystem), testing, code review, and production-grade engineering practices
• Deep hands-on experience with distributed computing frameworks: Apache Spark (Dataproc) and large-scale data processing. Databricks experience is useful for leading the migration off it
• Expert-level knowledge of cloud-native data platforms and services. Our stack runs on Google Cloud Platform (BigQuery, Dataproc, Cloud Storage), but equivalent depth on AWS or Azure is equally valued
• Advanced SQL skills including complex query optimisation, partitioning strategies, and performance tuning
• Experience building and scaling engineering teams, not just managing established ones: hiring, running interview loops, onboarding, and growing engineers from junior to senior
• Experience leading cross-team architecture initiatives and establishing platform-wide standards
• Experience with orchestration tools (Airflow, Astronomer, and Astronomer Cosmos for dbt orchestration) and CI/CD pipeline design
• Familiarity with legacy CI/CD tooling (e.g. Jenkins), particularly in the context of pipeline migration and modernisation
• Strong understanding of data governance, security best practices, and compliance requirements
• Experience with infrastructure as code and automated deployment practices
• Excellent communication skills, with the ability to translate technical trade-offs for non-technical stakeholders and represent the team to senior leadership
• Strong people management skills: coaching, mentorship, performance management, and career development
• Experience with monitoring, alerting, observability, and on-call operations for production data systems

Nice to Have:

• Experience in the digital marketing technology or partnership/affiliate industry
• General experience with Google Cloud Platform services beyond the core required stack (e.g. Pub/Sub, BigTable, Cloud Functions); familiarity with Dataflow is a plus but not a current platform requirement (it is under future evaluation)
• Familiarity with streaming technologies such as Apache Kafka and stream processing frameworks
• Experience standing up data quality frameworks and monitoring practices from scratch
• Experience with FinOps or cloud cost management at scale
• Experience migrating off legacy platforms (e.g. Databricks, on-prem Hadoop) to cloud-native alternatives
• Experience with organisational design, team scaling, or building engineering teams from scratch
• Awareness of AI agent architectures and how they connect to data platforms (e.g. MCP, tool-use patterns)
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Benefits:

• Hybrid, Casual work environment
• Responsible PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both

• Training & Development
• Learning the advanced partnership automation products
• Medical Aid and Provident Fund 
• Group schemes with Discovery & Bonitas for medical aid
• Group scheme for provident fund
• Restricted Stock Units
• 3-year vesting schedule pending Board approval
• Internet Allowance
• Fitness club fee reimbursementsTechnology stipend 
• Primary Caregiver Leave
• Mental  Health and Wellness Benefit - Including 12 Therapy/Coaching sessions + Dependent coverage 

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

Takealot Fulfilment Solutions (TFS), a division of Takealot Online (RF) (Pty) Ltd, is looking for a highly talented Senior  Data Analyst to join our team in Cape Town.

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results
• A culture that celebrates individual uniqueness while championing the strength of togetherness. 
• Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

This position reports to the Head of TFS Analytics.

Your responsibilities can include:

• Building and optimising models and reports using support tools i.e. Looker, Looker Studio, Dataform, Branch Dashboards, Weekly reports to inform operational decisions and drive improvement.
• Creating reports with focus areas for business improvement.
• Building dashboards to be used by the business for exception management.
• Identifying important variables and focus areas in the business.
• Analysing data to answer strategic and operational questions posed by the business.
• Automating data extraction and report update processes.
• Provide information to various stakeholders.
• Data Validation and integrity testing.
• Data Cleansing and data modelling.
• Provide information to various stakeholders.
• Collaborate with TFS managers and Franchise Managers to establish project plans while accounting for the trade-offs between operational practicality and overall performance.
• Provide significant support to TFS according to weekly goals and targeted metrics.
• Use weekly and monthly targets to manage day-to-day performance and inform operations for best impact.
• Regularly review and analyse key metrics in operations to identify root causes and formulate solutions to improve performance.
• Managing customer, branch, driver, and courier feedback into continuous performance improvement processes.

Technical Skills and Tools:

• Have worked with Automation and ETL software.
• Strong experience in building and optimising SQL scripts.
• Have a strong understanding of BI fundamentals.
• Implement version control using GIT.
• Implement continuous integration and continuous deployment (CI/CD) pipelines.
• Write technical documentation for APIs and libraries.
• Implement analytics and tracking features in applications.
• Design and implement database schemas.
• Optimize database queries and indexes for performance where needed.
• Implement error handling and logging mechanisms.
• Estimate story points and task durations for sprint planning.
• Demonstrate a willingness to learn and adapt to new technologies.

Attributes required:

• Solutions-oriented, can-do attitude and high energy.
• Strong analytical and critical thinking, using data to inform decisions.
• Ability to identify areas of improvement in current processes.
• Ability to use logic and common sense to arrive at conclusions.
• Passion for understanding ambiguous, complex problems and driving high quality, innovative, clean solutions.
• Highly structured thinker with strong attention to detail.
• Ability to handle multiple competing priorities in a fast-paced environment.
• Must have exceptional communication skills to help deliver insights to diverse stakeholders.
• Detail oriented, outcome and process focused.
• Willingness to learn and personal desire to keep up to date with technology and process.
• Comfortable with change and excellent team player.

Qualifications and experience:

• Bachelor’s degree or Advanced Diploma in Engineering, Information Systems, BCom Computer Science or similar degree and 3 years experience in a BI, Data, Engineering role within a fast-paced, product-led, and growth-focused organisation, playing a key role in data gathering, data analysis and helping the team make data based decisions.
• In the event the candidate does not have a Bachelor’s degree or Advanced Diploma in Engineering, Information Systems, BCom Computer Science or similar then a relevant Higher Certificate and 6 years relevant experience in a BI, Data, Engineering role within a fast-paced, product-led, and growth-focused organisation, playing a key role in data gathering, data analysis and helping the team make data based decisions.
• Strong hands-on experience with SQL, ETL pipelines, Google BigQuery, AWS, Looker Studio, and Python.
• Automation - Cron Scheduling (Custom or 3rd party software scheduling).
• High level of proficiency with MS Office packages with proven advanced proficiency in Excel / Google Sheets, Docs & Slides.
• Experience with large datasets and optimisation on digital platforms.
• Retail or e-commerce and Supply Chain industry experience is beneficial.

Be part of the extraordinary. Be part of TFS. 

Takealot Fulfilment Solutions (TFS) is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal and Fanatics visit www.impact.com.

Your Role at impact.com:

impact.com powers the partnership economy, helping brands and partners grow revenue through a modern SaaS platform used by thousands of companies globally. We're investing heavily in our data capabilities, and this role sits at the centre of how data powers our operations.We're looking for a Data Analytics Manager to build and scale our centralized analytics function. This is a senior player-coach role: you'll stay hands-on with deep analytical work while leading and developing a high-performing team of analysts. You'll shape the operating model, not just execute someone else's playbook. As Data Analytics Manager, you'll own the quality, consistency, and strategic impact of all analytical work produced by the Data Analyst team. You'll establish value-stream-aligned engagement patterns, drive Looker adoption and self-service maturity, and build analytical excellence through rigorous methodology, experimentation frameworks, and mentorship. You'll work on a modern cloud stack (BigQuery, dbt, Looker) with strong support from Analytics Engineering, who own the data platform and semantic layer. This role reports directly into senior leadership, with real visibility into how your work shapes company strategy. Our ideal candidate has deep analytical expertise, a track record of building teams, and the energy to create structure where little exists. This role is for someone who wants to build an analytics function that drives real business outcomes.

What You'll Do:

• Lead, mentor, and develop a team of data analysts, establishing clear career pathways, skill development priorities, and performance expectations.
• Establish and drive a value-stream-aligned operating model, ensuring analysts are embedded with business teams and delivering consistent, high-quality insights.
• Own analytical methodology and standards: how analysts approach problems, structure analyses, document work, and communicate insights.
• Drive Looker adoption and self-service analytics across the organisation, including governance frameworks, training cadences, and enablement materials.
• Partner closely with business stakeholders across operations, finance, marketing, product, and customer success to translate strategic questions into data-driven Recommendations.
• Build and maintain analytical frameworks, templates, and repeatable patterns for KPI design, insight narratives, and measurement reporting.
• Define and govern experimentation frameworks, covering A/B testing, causal inference approaches, and impact evaluation.
• Dig into complex, large-scale datasets using SQL, BigQuery, Looker, and Python to surface patterns, trends, and strategic opportunities.
• Collaborate with Analytics Engineering and Data Platform Engineering on semantic layer design, data quality, and pipeline improvements.
• Manage analyst capacity allocation and prioritisation across value streams within agreed engagement frameworks.

What You Have:

• 7+ years of experience in data analysis, business intelligence, or analytics, including 2+ years in a team leadership or management role
• Strong hands-on technical skills in SQL, Python or R, and modern BI tools (Looker, Tableau, or Power BI)
• Proven experience building and scaling analytics teams and establishing analytical methodologies and standards
• Deep understanding of statistical methods, experimentation design, causal inference, and forecasting
• Experience with Google Cloud Platform, BigQuery, and cloud-native analytics tools
• Strong track record of partnering with business stakeholders to translate questions into actionable recommendations
• Experience designing and driving self-service analytics and BI adoption initiatives
• Excellent communication and storytelling skills, with the ability to translate complex findings for both technical and executive audiences
• Experience with data visualisation best practices and dashboard design
• Strong people management skills: coaching, mentorship, performance management, and career development
• Experience delivering analytical outcomes in a scaling SaaS environment with competing priorities across multiple business functions

Nice to Have:

• Bachelor's or Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field (or equivalent practical experience)
• Experience with product analytics concepts: cohort analysis, retention curves, user segmentation, and feature adoption measurement
• Familiarity with product analytics tooling (Amplitude, Mixpanel, or similar via SQL)
• Experience in the digital marketing technology or partnership/affiliate industry
• Comfort with ambiguity in data definitions and business logic, particularly in build-from-scratch environments
• Exposure to dbt or semantic layer tooling

Benefits:

• Hybrid, Casual work environment
• Responsible PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both

• Primary caregiver leave
• Training & Development
• Learning the advanced partnership automation products
• Medical Aid and Provident Fund 
• Group schemes with Discovery & Bonitas for medical aid
• Group scheme for provident fund
• Restricted Stock Units
• 3-year vesting schedule pending Board approval
• Internet Allowance
• Fitness club fee reimbursementsTechnology stipent
• Mental  Health and Wellness Benefit - Including 12 Therapy/Coaching sessions + Dependent coverage 

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Fraud and Risk to join our Cape Town Data Science team. In this role, you'll be at the forefront of protecting our affiliate marketing ecosystem by researching, developing, and deploying ML models that detect and prevent fraud across attribution, lead quality, and partner compliance. You'll work on high-impact problems spanning traditional fraud patterns and emerging threats—from attribution manipulation to browser extension abuse—while building production systems that scale. This is an opportunity to combine rigorous analytical work with tangible business impact in a fast-moving, adversarial domain.

Core Responsibilities

Research & model development

• Conduct R&D on fraud detection and risk monitoring across the digital advertising ecosystem, including attribution fraud, lead fraud, click injection, browser extension abuse (e.g., Honey-style coupon hijacking), brand safety violations, and creator authenticity verification.
• Design, prototype, and validate ML models and rule-based systems for fraud detection, partner risk scoring, compliance monitoring, and trust & safety workflows.
• Research and apply graph-based fraud detection techniques (community detection, link analysis, behavioral clustering) and explore graph database applications for modeling relationships between users, devices, transactions, and partners to uncover coordinated fraud rings and suspicious network patterns.
• Stay ahead of emerging fraud patterns through continuous learning—monitoring industry trends, reviewing academic literature, exploring data for novel anomalies, and collaborating closely with Product, Compliance, and Trust & Safety teams.

Production deployment & iteration

• Deploy Fraud and Risk ML models to production; own the end-to-end delivery from ETL, feature engineering, model training, deployment, to monitoring.
• Iterate on live models by adding new features, improving performance (precision/recall/F1), and reducing false positives.
• Partner with MLOps and Engineering to ensure models are robust, scalable, and production-ready (testing, alerts, drift monitoring, retraining pipelines).

Data analytics & insights

• Perform deep-dive analyses on fraud trends, partner behavior, and risk patterns to inform model strategy and business decisions.
• Translate analytical findings into actionable recommendations for Product, Marketing, and Finance stakeholders.
• Build dashboards and reports to communicate model performance, fraud impact, and risk metrics to leadership.

Cross-functional collaboration

• Work closely with Product, Engineering, Compliance, and Finance to scope requirements, prioritize work, and align on success metrics.
• Communicate technical work clearly to non-technical audiences; present findings and tradeoffs in planning forums and reviews.
• Contribute to a culture of experimentation, documentation, and knowledge sharing within the Data Science team.

Qualifications

Required

• Experience: 5+ years in data science, ML, or advanced analytics, with at least 2+ years focused on fraud detection, risk modeling, or anomaly detection in production environments.
• Fraud & risk domain expertise: Demonstrated experience building and deploying fraud or risk models (classification, anomaly detection, time-series analysis, graph-based methods).
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, or similar).
• Experience with feature engineering, model evaluation (ROC/AUC, precision-recall, cost-sensitive learning), and handling imbalanced datasets.
• Familiarity with production ML workflows (versioning, monitoring, A/B testing, model retraining).
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, and interpret results with business context.
• Communication: Ability to translate complex technical work into clear insights for stakeholders; experience presenting to cross-functional teams.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience in affiliate marketing, ad tech, or e-commerce fraud (attribution fraud, click fraud, lead validation, coupon abuse).
• Familiarity with browser extension detection, fingerprinting, or device/user identity resolution.
• Experience with graph analytics or network-based fraud detection (community detection, link analysis, behavioral clustering).
• Knowledge of privacy-preserving ML techniques or working with privacy-constrained data.
• Experience with real-time or near-real-time scoring and low-latency deployment (e.g., REST APIs, streaming pipelines).
• Familiarity with GCP tools (BigQuery, Vertex AI, Cloud Run) and/or Databricks/Spark for large-scale data processing.
• Exposure to rule engines, decision trees, or hybrid rule-ML systems for compliance and risk workflows.

What sets you apart

• Adversarial thinking: You understand how fraudsters operate and can anticipate evasion tactics and evolving attack vectors.
• Pragmatic delivery: You balance rigor with speed, prioritizing MVPs and iterative improvement over perfection.
• Business impact orientation: You focus on measurable outcomes (fraud loss reduction, false positive rates, operational efficiency) and communicate ROI clearly.
• Comfort with ambiguity: You thrive in evolving problem spaces, defining your own roadmap when fraud patterns shift or new threats emerge.
• Collaboration and influence: You build trust across teams and can drive adoption of your models through enablement, documentation, and clear storytelling.

Benefits and Perks:

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

takealot.com, a leading South African online retailer, is looking for a highly talented On-Demand Analytics Planner to join our Marketplace team in Cape Town.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people to join us.  We offer market-related benefits, a great work environment and a promise that you won’t get bored, as long as you are prepared for a challenge and want to build something great.

This role combines inventory planning, data analysis, and process optimisation to support our fast-paced on-demand services operations. The role is responsible for ensuring efficient inventory replenishment across our dark store network, whilst leveraging data analytics to drive informed decision-making and continuous process improvements.

Your responsibilities will include:

Inventory Planning & Management (70%)

Develop, maintain and optimise replenishment limiting and recommendation systems to ensure stock levels don’t exceed capacities, while maximising key line availability across all regional warehouses.

• Monitor inventory levels and manage the replenishment process to maintain continuous product availability.
• Analyse sales data and inventory reports to forecast needs and adjust inventory levels accordingly.
• Accurately forecast stock levels and fulfilment volumes for budget and operational planning purposes.

Maintain replenishment level controls and clearance processes to adhere to stock plans.

• Act as primary point of contact for DC operations, inbound and supply chain.
• Collaborate with internal stakeholders to understand their reporting and data analysis needs, collaborate with BI and analytics teams to produce and improve reporting and monitoring.

Process Optimisation & Problem-Solving (30%)

• Identify systematic inefficiencies and develop process improvements.
• Develop and implement automated processes whenever possible.
• Participate in cross-functional team meetings to discuss operational issues and develop solutions.
• Drive continuous improvement initiatives across planning and operational processes.

Attributes:

• Essential: Strong SQL skills for database querying and data manipulation
• Essential: Advanced knowledge of Microsoft Office Suite/Google Workspace (particularly Excel/Sheets)
• Familiarity with GBQ (Google BigQuery) preferred

Qualifications and Experience:

• Bachelor’s Degree in Mathematics, Engineering, Information Systems, Supply Chain Management, or related field.
• 1-3 years of experience in technical system design, maintenance and implementation.
• Experience working with data analysis tools:   KNIME / alteryx / dataform or other ETL software equivalent.

We seek to Employ an Extraordinary Mind who:

• is respectful but forthright
• is an expert at doing, who can not only design but also execute
• is analytical, able to use data to make decisions
• is competitive, self-directed and strive to be the BEST (GREAT requires a lot of work and does not only happen during business hours
• is passionate about the potential of e-commerce and delivering a world-class customer experience
• is entrepreneurial, thrives under change and accepts it is a constant and always looks for solutions to do something better and faster
• is business SMART. Able to think about problems from a business perspective using technical and product input;
• is curious and challenge the status quo
• is innovative and enjoys iteration
• is collaborative
• will be at the cutting edge of developing new concepts for takealot.com
• thinks like an owner of the business
• is SMART, has INTEGRITY and is HARD WORKING

If you meet the above you are an Extraordinary Mind, so come and join us!

Takealot is an Equal Opportunity Employer. Applicants from the previously disadvantaged groups and people with disabilities will be given preference

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Product Data Quality to join our Cape Town Data Science team. In this role, you'll own the analytical and technical foundation of product data quality across our ecosystem—spanning catalog hygiene, transaction matching, classification modeling, deduplication, and global product identity. You'll work across both the structured catalog universe and the messier, larger-scale sales transaction universe, building models and infrastructure that power search, recommendations, and business intelligence. This is a high-impact role that demands both analytical depth and strong engineering capabilities: you'll take models from research to production, build scalable data pipelines, and create the monitoring infrastructure that makes our product data foundation trustworthy and continuously improving. Your work will directly influence search relevance, recommendation quality, match rates, and reporting accuracy across the business.

Core Responsibilities

Product classification & taxonomy modeling

• Develop, deploy, and maintain ML models for automated product categorization and taxonomy assignment across hierarchical category structures.
• Improve classification accuracy through feature engineering (text, attributes, embeddings), model iteration, and robust evaluation on both catalog and sales transaction data.
• Monitor production model performance; identify and remediate misclassification patterns that impact search, recommendations, and reporting.
• Collaborate with category experts and Product teams to refine taxonomy definitions, handle edge cases, and adapt to new product types.

Catalog & sales universe data quality

• Conduct deep-dive analyses into catalog completeness, consistency, and correctness across retailers, categories, and product attributes.
• Own data quality analytics for the sales transaction universe—a larger, messier dataset than catalog—measuring match rates, diagnosing gaps (unmatched transactions, misattributed products), and identifying systematic failures.
• Define and track catalog and transaction health KPIs (attribute coverage, schema compliance, match rates, GPID coverage, freshness); identify root causes and drive remediation.
• Build monitoring systems and dashboards to track data quality trends across retailers, categories, and time periods.

Global Product ID (GPID) coverage & matching

• Assess GPID (GTIN/UPC/EAN) coverage and accuracy across both catalog and sales transaction data; identify gaps by category, retailer, and brand.
• Build and improve matching algorithms to link sales transactions to catalog products, handling missing GPIDs, naming inconsistencies, and category misclassification.
• Quantify the impact of GPID enrichment and matching improvements on search, deduplication, and reporting accuracy.
• Partner with external data providers and brands to improve GPID coverage and resolve identifier conflicts.

Deduplication & entity resolution

• Identify product variants (size, color, packaging) and duplicates within and across retailer catalogs using clustering, entity resolution, embeddings, and similarity-based techniques.
• Build scalable deduplication pipelines that handle catalog and transaction data at scale; define patterns, heuristics, and ML-based approaches for variant grouping.
• Measure the impact of deduplication on search quality, recommendation accuracy, and reporting; iterate on models to reduce false positives and improve precision.
• Support Data Engineering and Platform teams in productionizing deduplication and entity linking infrastructure.

Manufacturer data quality & brand engagement

• Evaluate the consistency and accuracy of manufacturer-level attributes (brand name, MPN, manufacturer identifiers) across catalogs and transactions.
• Detect systemic issues at the brand and retailer level; build scorecards and engage brands (via the Tiger Team) to drive data quality improvements.
• Create feedback loops to measure manufacturer data quality and track progress on remediation initiatives.

Product search & retrieval infrastructure

• Research and prototype improvements to product search and retrieval pipelines, including vector search, semantic similarity, and embedding-based matching.
• Explore and implement vector database infrastructure (e.g., FAISS, Pinecone, Weaviate) to support fast, scalable product retrieval and similarity search.
• Contribute to the design and optimization of retrieval pipelines that combine text, attributes, and embeddings for search and recommendations.
• Evaluate search relevance and ranking quality; iterate on indexing strategies, query preprocessing, and re-ranking models.

Product graph & relational modeling

• Build and maintain product graph infrastructure that captures relationships between products, variants, brands, categories, retailers, and transactions.
• Use graph-based techniques (community detection, link analysis, centrality) to identify product families, detect duplicates, and surface insights on product hierarchies.
• Partner with Data Platform teams to design scalable graph storage and query patterns (e.g., Neo4j, graph extensions in BigQuery).

Insights, monitoring & reporting

• Systematically identify, classify, and prioritize product data quality issues; create clear summaries, visualizations, and actionable recommendations for stakeholders.
• Build and maintain dashboards and recurring reports for key product data KPIs (match rates, GPID coverage, duplicate rates, classification accuracy, attribute completeness).
• Establish alerting and anomaly detection systems to proactively surface data quality degradation and model performance issues.

Engineering & production deployment

• Take models and analytics prototypes from POC to production, with or without engineering partnership—owning deployment, testing, monitoring, and iteration.
• Build robust, scalable data pipelines and ML workflows using production-grade tools and best practices (versioning, CI/CD, testing, observability).
• Collaborate with MLOps and Data Engineering teams to ensure production readiness: reliability, latency, drift monitoring, and SLOs.

Qualifications

Required

• Experience: 5+ years in data science, ML engineering, or analytics engineering, with at least 2+ years focused on product data, catalog quality, entity resolution, search/retrieval, or e-commerce/marketplace analytics.
• Engineering strength: Proven ability to build production-grade data pipelines and deploy ML models independently; strong software engineering fundamentals (code quality, testing, version control, CI/CD).
• Data quality expertise: Demonstrated experience analyzing and improving large-scale structured data quality (completeness, consistency, accuracy, deduplication, entity resolution).
• ML & classification experience: Track record building and deploying classification models, ranking systems, or search/retrieval pipelines in production.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and data manipulation tools (pandas, PySpark).
• Experience with entity resolution, fuzzy matching, clustering, embeddings, and similarity-based techniques (Levenshtein distance, cosine similarity, nearest-neighbor search).
• Familiarity with production ML workflows (model versioning, monitoring, evaluation, retraining, A/B testing).
• Experience with data profiling, anomaly detection, and exploratory analysis at scale.
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, interpret results, and communicate insights with business context.
• Stakeholder collaboration: Experience working cross-functionally with Product, Engineering, and business teams; ability to translate technical work into actionable recommendations.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience with vector search and embeddings (sentence transformers, OpenAI embeddings, BERT-based models) and vector databases (FAISS, Pinecone, Weaviate, Milvus, pgvector).
• Familiarity with search and retrieval systems (Elasticsearch, Solr, semantic search, BM25, hybrid ranking) and understanding how data quality impacts relevance.
• Experience with graph databases and graph analytics (Neo4j, NetworkX, graph algorithms for clustering and link prediction).
• Knowledge of NLP techniques for product data (text classification, named entity recognition, attribute extraction, title/description parsing, semantic similarity).
• Experience with multimodal modeling (combining text, images, and structured attributes for classification or retrieval).
• Familiarity with global product identifiers (GTIN/UPC/EAN, MPN, SKU hierarchies) and standards organizations (GS1, GDSN).
• Experience with deduplication and record linkage at scale (blocking strategies, probabilistic matching, hierarchical clustering).
• Familiarity with GCP tools (BigQuery, Vertex AI, Dataflow, Cloud Run, Looker) and/or Databricks/Spark for large-scale processing and deployment.
• Exposure to master data management (MDM) or data governance practices in product or catalog contexts.
• Experience with recommendation systems or understanding how product data quality impacts personalization and ranking.

What sets you apart

• Product data obsession: You care deeply about data quality and understand how poor catalog hygiene cascades into user experience, business reporting, and operational inefficiencies.
• Engineering mindset: You don't just build prototypes—you ship them. You write clean, tested, production-ready code and can own the full lifecycle from research to deployment.
• Detective instincts: You love digging into messy data, finding patterns, and uncovering root causes—whether it's a systematic retailer issue, a subtle duplicate cluster, or a classification edge case.
• Pragmatic prioritization: You balance comprehensiveness with impact, focusing on the 20% of issues that drive 80% of quality problems and business value.
• Search & retrieval intuition: You understand how product data powers search and recommendations, and you know how to build infrastructure (embeddings, vector DBs, graphs) that makes these systems work at scale.
• Stakeholder fluency: You translate messy data findings into clear, actionable recommendations and build trust with brands, retailers, Product, and Engineering teams.
• Comfort with ambiguity: You thrive in evolving data ecosystems, defining your own quality metrics and technical roadmaps when the problem space is still being shaped.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.