Senior Analytics Translator

Sabenza IT & Recruitment; Sandton; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading recruitment agency is seeking a Senior Analytics Translator in Sandton, South Africa. This role bridges the gap between analytics teams and business decision-makers, focusing on product development, deployment, and stakeholder engagement. Ideal candidates will have 5+ years in analytics or product roles, a BA/MSc in a quantitative field, and strong strategic communication skills. Join the team to drive data-led decision-making in the alcohol distribution industry.

Qualifications

• 5+ years in product, analytics, tech, or consulting roles.
• Experience managing analytics or data-driven products.
• Ability to define and execute product strategy.

Responsibilities

• Own the end-to-end lifecycle for analytics products.
• Lead cross-functional product development teams.
• Guide enablement efforts for effective adoption.

Skills

Strategic communication skills

Project management

Stakeholder management

Agile methodologies

Data-driven product management

Education

BA/MSc in a quantitative field

Job description

Are you passionate about turning data into actionable business insights? Do you thrive at the intersection of analytics, strategy, and stakeholder engagement? Our client, a leader in the alcohol distribution space, is looking for a Senior Analytics Translator to bridge the gap between advanced analytics teams and business decision-makers.

Key Responsibilities

Analytics Product Development

• Own and manage the end-to-end lifecycle for a portfolio of analytics products, from opportunity framing to deployment, ensuring alignment with strategic business objectives.
• Drive the definition of product vision and roadmap in close collaboration with senior business stakeholders and analytics leadership.
• Lead the development of detailed product requirements and specifications, guiding product owners and delivery teams.
• Oversee cross-functional product development teams (Data Scientists, Engineers, Analysts, UX Designers) in an agile/lean environment, ensuring alignment with business and user needs.
• Ensure transparent, structured communication across stakeholders at multiple organizational levels, facilitating prioritization and investment decisions.
• Monitor industry trends and competitive offerings to ensure the analytics portfolio remains cutting-edge and value driven.

Analytics Product Deployment

• Lead cross-functional coordination across regions and Heineken markets to drive scalable deployment of analytics solutions, incorporating structured change management approaches.
• Build and maintain strong relationships with senior stakeholders across functions and geographies to ensure that analytics solutions are embedded in business processes.
• Guide enablement efforts with customer-facing and functional teams to ensure effective adoption, including design of training, communication, and support materials.
• Establish a robust framework for measuring product performance across the portfolio, driving continuous improvement and value delivery based on user and business feedback.

Requirements

• BA/MSc in a quantitative related field; equivalent work experience accepted.
• 5+ years in product, analytics, tech, or consulting roles, including leadership of complex projects or portfolio
• Essential:
• Strong strategic communication skills, with demonstrated ability to influence and align senior stakeholders across functions and regions
• Proven experience managing a portfolio of analytics or data-driven products with varying scope and complexity
• Excellent project and stakeholder management skills, with structured problem-solving capabilities
• Ability to define and execute product strategy and communicate actionable insights to technical and non-technical audiences
• Experience leading teams in agile environments (e.g., backlogs, sprints, user stories, iterative design)
• Track record of translating business problems into scalable analytics solutions that deliver tangible business value
• Demonstrated ability to drive prioritisation and delivery across multiple concurrent initiatives, balancing business impact and resource constraints
• Deep experience managing full product lifecycles in cross-functional settings
• Advantageous skills:

Advantageous skills

• Experience in data analysis, machine learning or related field
• Hands-on experience in data analysis, machine learning, or related disciplines. Experience working in or delivering analytics solutions within the FMCG sector
• Familiarity with data platforms, governance principles, and AI/ML product development pipelines

Apply today and be the driving force behind data-led decision-making in the alcohol distribution industry!