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Senior Data Analyst

South Africa, Johannesburg · Job Posted January 20, 2026
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Job Description

Within AKQA, Data & Analytics is one of the fastest growing disciplines that is integral to delivering value for our clients and positive impact for their customers. As part of a multi-disciplinary approach to problem solving our team provide a wide range of capabilities including user experience (UX) analytics, consumer research, and applied data science. Our clients are building the future of their business and, more than ever, data is at the heart of making this future a reality. As a Senior Analyst at AKQA, you should be passionate about using data to derive insights and provide optimization recommendations that create better connections with consumers.

Job Responsibility

Defining measurement and testing frameworks to business results for our clients

Requirements

  • Experience in digital analytics, UX/funnel optimisation, and A/B testing
  • Knowledge and mastery of relevant analytics systems and data sources such as: web analytics (Google Analytics), funnel / flow analysis (Content Square), CRM, Survey (Usabilia), BI tools (Tableau, PowerBI), other 3rdparty sources, etc.
  • Ability to connect a client’s business goals to a complete measurement plan that defines the metrics, systems, and methodologies needed to meet those objectives
  • Strong background in data analysis and insight generation, using statistically sound analytical techniques to provide robust descriptive data sets that inform, shape, and defend a business/brand/experience strategy
  • Highly developed communication and story-telling skills, to be able to connect those insights in a way that tells a clear story and leads to clear action – across a variety of formats (reports, presentations, interactive dashboards)
  • Experience in designing a detailed tracking strategy and ensuring rich data capture, as part of tag management (GTM), QA, and implementation guidance to dev team/partners
  • Familiarity with creating strategic testing frameworks, learning agendas and associated tools and methodologies, like using Google Optimise and analysing statistical significance
  • Proactive mindset, able to execute a hypothesis-driven, data-first approach with light guidance from an Analytics Manager
  • Skilled storyteller, able to effectively communicate analysis, identify key takeaways, and quantify opportunities
  • Team player, able to integrate into a project and team environment as a thought leader, seamlessly connecting analytics to actionable strategic goals

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