Senior Data Analyst - Growth & Analytics Engineering

Activate TalentRemote — South Africa

Remote Full-time

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Experience Level

Senior

Qualifications

The ideal candidate will possess a strong analytical mindset and the ability to translate data into actionable strategies. Experience with data visualization tools, statistical analysis, and SQL is essential. A Bachelor's degree in a related field is preferred, along with a proven track record in a data analysis role.

About the job

Join our dynamic team as a Senior Data Analyst specializing in Growth & Analytics Engineering. In this fully remote role, you will leverage data-driven insights to shape our strategies and enhance our growth initiatives. Your expertise in data analysis and engineering will be crucial in identifying opportunities and driving performance improvements across various channels.

About Activate Talent

Activate Talent is committed to fostering a culture of innovation and excellence. We are dedicated to empowering our team members and providing them with the tools and resources they need to succeed. Join us and be part of a forward-thinking organization that values collaboration, creativity, and growth.

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Role overview Lyra Health seeks an Analytics Engineer based in Johannesburg. The role centers on applying data expertise to guide company decisions. The position involves building dependable data pipelines and developing analytical models that help teams improve client results. What you will do Build and maintain data pipelines to keep information accurate and available when needed Design analytical models that align with business objectives and enhance client outcomes Collaborate with teams across departments to understand data requirements and provide actionable insights

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Junior Analytics Engineer

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Full-time|On-site|South Africa

About the Role As a Junior Analytics Engineer at JUMO, you will play a pivotal role in supporting our Analytics Engineering team across various functional data domains. Collaborating closely with key stakeholders and data engineers, you will manage data requests from both internal teams and external partners, ensuring seamless data flow. You will report directly to the Data Modelling & Reporting Team Lead. Your Responsibilities Engage with diverse stakeholders, including Product Owners, Data & Prediction teams, Finance, Marketing, and external partners, to investigate and analyze data within our data warehouse and operational data stores, addressing real-world challenges. Develop a thorough understanding of the end-to-end architecture of your functional domain, enabling you to dive deep into data to troubleshoot issues and perform ad-hoc data extracts. Conduct quality assurance on new and existing datasets and pipelines to identify inconsistencies and anomalies, guiding data cleansing and problem resolution efforts. Employ advanced data querying and analytical skills to provide insights and support for both internal and external stakeholders. Clearly define reporting requirements and possess the capability to construct operational reports and strategic dashboards that meet business needs. Your Qualifications 2-3 years of experience in data and/or systems analysis, with a portion of that experience in a formal Business Intelligence (BI) environment. A university degree in Business, Finance, Mathematics, Statistics, Informatics, or equivalent industry experience. Demonstrated ability in analytics, business process analysis, and effectively communicating recommendations at all organizational levels. Practical understanding of data processing and storage solutions. Experience with relational database management systems, including MySQL, PostgreSQL, Redshift, and SQL Server. Proven ability to write complex data queries in various languages for data retrieval, analysis, and modeling. Capability to independently explore and comprehend complex data domains. Advanced proficiency in Excel. Knowledge of Data Governance, Agile methodologies, and Quality Assurance standards. Strong critical thinking skills, particularly under pressure and tight deadlines. Experience with GitHub and JIRA or similar project management tools.

Apr 30, 2026

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Analytics Engineer

JUMO

Full-time|On-site|South Africa

About the RoleAs an Analytics Engineer at JUMO, you will play a pivotal role in supporting our Senior Analytics Engineers across various functional data domains. You will collaborate closely with stakeholders and Data Engineers to fulfill data requests, both internally and for external partners. Your direct report will be to the Team Lead of Data Modelling & Reporting. Your ResponsibilitiesEngage with stakeholders including Product Owners from technology platforms, Data & Prediction teams, Finance, Marketing, and external partners to investigate data from the data warehouse and operational data stores to solve real-world challenges.Develop a thorough understanding of the end-to-end architecture of your functional domain, enabling you to troubleshoot issues and carry out ad-hoc data extraction.Conduct quality assurance on both new and existing datasets and data pipelines to identify inconsistencies and anomalies, guiding problem resolution and data cleansing efforts.Leverage advanced querying and data discovery skills for ad-hoc analysis to support both internal and external stakeholders.Clearly articulate reporting requirements and possess the capability to create operational reports and strategic dashboards.

Apr 8, 2026

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Senior Data Engineer / Analytics Engineer (AWS)

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Contract|Remote|Remote job

DVT is a well-established software development firm with teams working alongside major companies in South Africa and beyond. Engineers here contribute to modern data platforms and collaborate with experienced professionals across the industry. The company values ongoing learning, encourages sharing knowledge internally, and supports technical events in the AWS and data communities. Role Overview The Senior Data Engineer / Analytics Engineer will join the Data and Automation practice for a significant client project. This fully remote, client-facing position focuses on designing, building, and maintaining an AWS-first data platform. What You Will Do Design and manage data pipelines from S3 to Redshift Serverless Orchestrate workflows using Airflow Model data with dbt Develop scripts in Python Contribute to analytics engineering standards and practices Communicate with stakeholders across distributed teams Support potential migration efforts toward Snowflake What We Look For Hands-on experience with AWS data platforms Strong background in software engineering for data Proficiency in Python, Airflow, dbt, and data modeling Ability to own data pipelines end-to-end Comfort working directly with clients and distributed teams This is not a general backend engineering role. The team seeks engineers with direct experience building and maintaining modern cloud data solutions.

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Senior Data Analyst - Growth & Analytics Engineering

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Full-time|Remote|Remote — South Africa

Join our dynamic team as a Senior Data Analyst specializing in Growth & Analytics Engineering. In this fully remote role, you will leverage data-driven insights to shape our strategies and enhance our growth initiatives. Your expertise in data analysis and engineering will be crucial in identifying opportunities and driving performance improvements across various channels.

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Join Experian as an Analytics Graduate and embark on an exciting career in data analytics. This role is ideal for recent graduates who are passionate about using data to drive insights and business decisions. You will work closely with experienced professionals to analyze data trends, develop models, and support key projects to enhance our data-driven strategies.This is an outstanding opportunity to grow your skills in a dynamic environment where innovation and collaboration are at the forefront. If you are eager to make an impact and learn from industry leaders, we encourage you to apply!

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Full-time|On-site|Centurion, Gauteng, South Africa

Role Overview Talent Engine is looking for a Data Lead based in Centurion, Gauteng. This role shapes the company’s data strategy and supports data-informed decision-making throughout the organization. What You Will Do Oversee how data is collected, managed, and analyzed across the business Maintain data integrity and ensure teams can access the information they need Work with colleagues from multiple departments to support business goals through data Help build and improve the company’s data infrastructure What You Bring Experience leading data initiatives or teams Strong skills in data management and analysis Ability to collaborate with cross-functional groups

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Data Analytics Manager

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Full-time|On-site|Cape Town

Join Our Team at impact.com: At impact.com, we are dedicated to our people, innovative technology, and the success of our customers. Our collaborative environment fosters rapid growth, allowing us to serve some of the largest brands globally. We leverage state-of-the-art technology to tackle real-world challenges for our clients, positioning ourselves as the premier SaaS platform for automating partnerships and maximizing revenue. With an entrepreneurial spirit, we reward ambition and curiosity. If you seek a team that values your input and recognizes your contributions, all while enjoying a vibrant and talented global community, this is the perfect place for you! As the world’s leading partnership management platform, impact.com is revolutionizing how businesses manage and enhance various partnerships—from traditional rewards affiliates to influencers and B2B collaborations. Our robust platform empowers businesses to develop, manage, and expand ecosystems of partnerships that customers rely on for purchasing decisions, information, and entertainment. To discover how our technology is fueling revenue growth for global enterprises like Walmart, Uber, and L’Oreal, visit www.impact.com. Your Role as Data Analytics Manager: At impact.com, we are at the forefront of the partnership economy, enabling brands and partners to boost revenue through our modern SaaS platform utilized by thousands worldwide. We are significantly enhancing our data capabilities, and we are seeking a Data Analytics Manager to establish and elevate our centralized analytics function. In this senior player-coach role, you will engage in hands-on analytical work while leading and nurturing a high-performing team of analysts. You will define the operating model and will not merely follow a pre-existing playbook. As the Data Analytics Manager, you will be responsible for ensuring the quality, consistency, and strategic impact of all analytics produced by the team. You will implement value-stream-aligned engagement patterns, promote Looker adoption and self-service maturity, and cultivate analytical excellence through rigorous methodologies, experimentation frameworks, and mentorship. This role involves working with a modern cloud stack (BigQuery, dbt, Looker) and benefits from strong support from Analytics Engineering, which oversees the data platform and semantic layer. This position reports directly to senior leadership, providing tangible visibility into your contributions.

Mar 18, 2026

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About the RoleWe are looking for a dynamic and experienced Senior Manager, Data & Business Analytics to spearhead our data strategy and transform data into valuable business insights. This pivotal role involves overseeing the entire data lifecycle, ensuring that data is reliable, accessible, secure, and utilized effectively to inform strategic decisions across the organization.The ideal candidate will possess extensive experience in e-commerce and direct-to-consumer (DTC) environments, demonstrating a strong capability to foster a data-driven culture by collaborating across various departments.Key ResponsibilitiesData Strategy & LeadershipLead the organization’s comprehensive Data Strategy, focusing on analysis, governance, collection, integration, optimization, visualization, and security.Manage both internal and external resources responsible for the Thrive Data Stack, ensuring it is scalable and reliable.Establish and uphold a central source of truth for the business.Data Analysis & VisualizationCollaborate with cross-functional teams to define business objectives and key performance indicators (KPIs).Conduct proactive data analysis to provide insights and recommendations that drive strategic decision-making.Create and maintain dashboards and reports leveraging tools such as Looker or Tableau for self-service analytics.Data GovernanceStandardize data definitions across the organization.Implement and maintain data governance frameworks to ensure high data quality, consistency, and integrity.Guarantee compliance with applicable data privacy regulations, including GDPR.Data Collection & IntegrationOversee data collection and integration tools from various sources, including Shopify, third-party applications, and internal systems.Ensure smooth data flows and reliable integrations throughout the data ecosystem.Data OptimizationContinuously enhance data quality and efficiency through monitoring, cleaning, transformation, and normalization processes.Optimize ETL pipelines and data models to facilitate scalable reporting and analytics.Data SecurityMaintain data security and confidentiality through appropriate access controls, encryption, and backup procedures.Collaborate with IT to safeguard data against potential threats.

Jan 15, 2026

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Apr 8, 2026

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About WPP MediaWPP Media stands as the trusted growth partner for premier global brands. Our exceptional talent, reliable data and insights, and world-class collaborations—unified under our innovative marketing platform, WPP Open—enable us to assist clients in navigating change, seizing opportunities, and achieving transformational growth.As WPP's AI-powered media operating unit, WPP Media integrates media, data, and partnerships to offer creative personalization at scale. With WPP Open and powered by Open Intelligence, clients gain clear visibility into the effectiveness of their media investments.Learn more at wppmedia.com.Purpose: The Analytics and Insights team is responsible for translating business and communication objectives into actionable and measurable media frameworks for clients. This role entails analyzing trends and data to create both innovative and practical solutions for our clients.

Apr 2, 2026

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