Senior Data Analyst

🌍 Join the Team Taking South African Innovation to the World! 🌟 – Remote to Hybrid Role

Ever heard of global brands like Starbucks, KFC, and others using cutting-edge tech to transform their customer experiences? Well, what if we told you that South Africans are leading the charge behind this revolution? 🇿🇦🚀

We’re a South African-founded company that’s using world-class technology to disrupt the retail industry on a global scale. We’re not just changing physical retail—we’re redefining it. 🛍️💡

If you’re ready to work with a team that’s shaping the future of connected retail, and you want to be a part of something truly groundbreaking, this is your chance! 🔥

About the Team & Role

Our mission is supported by a data ecosystem that drives informed decision-making and innovation. The Data Team is a critical part of this mission, enabling advanced analytics, machine learning, and actionable insights to shape business strategy and outcomes. This team – comprising data engineers, data scientists, and data analysts – works collaboratively to transform raw data into impactful solutions, ensuring scalability, reliability, and actionable insights.

As a Senior Data Analyst, you will play a key role in rapidly uncovering actionable insights and supporting data-driven decision-making across the organisation. You will take accountability for leading data analytics projects whilst guiding and leading junior team members and stakeholders along the way. This hands-on position involves collecting, processing, and analysing complex data to identify trends and patterns that inform business strategies and product features. You will collaborate with data engineers and data scientists to ensure data accessibility and quality and work on projects that impact critical business outcomes. You will also communicate with non-technical stakeholders to understand business requirements and use compelling story telling to derive actionable insights through data.

If you are passionate about taking the lead in turning data into valuable insights and driving business impact through data analysis, we want you on our team!🎇

Key Responsibilities

• Gather and integrate data from multiple sources and ensure that it is clean, accurate, and reliable for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
• Create and maintain clear, effective reports and dashboards to communicate insights to cross functional stakeholders at various seniority levels.
• Collaborate with data engineers to understand the data architecture and ensure seamless data access, quality, and transformation pipelines. Collaborate with data scientists to interpret model results and inform business decisions.
• Translate complex data findings into actionable business insights and recommendations for various stakeholders.
• Provide ad-hoc data analysis support for specific business queries or one-off projects.
• Understand business processes and shape how data analysis contributes to strategy and operations.
• Lead the process of understanding business requirements and translate these into technical deliverables.
• Develop and enforce internal data analytics standards and best practices.
• Serve as a technical leader, coach and mentor for junior team members and adjacent data and engineering teams.
• Lead end-to-end data analytics projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality control and stakeholder management.
• Contribute to the development of the IOB data strategy.

Requirements

• A Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering or a related field. Advanced degrees are a plus.
• 5+ years (preferred 8+ years) of proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL for data extraction and manipulation.
• Strong proficiency with data wrangling and cleaning techniques.
• Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
• Exposure to managing enterprise deployments of data visualisation platforms (e.g. Power BI enterprise).
• Knowledge of statistical analysis techniques and tools (e.g. Python, R, Excel).
• Ability to interpret complex datasets and communicate insights in a clear and concise manner to various audiences of varying seniority.
• Experience leading and mentoring junior data analysts and other team members
• Experience contributing to and shaping internal data analytics standards and best practices.
• Strong written and verbal communication skills, with the ability to present data findings to non-technical audiences.
• Strong problem-solving and critical thinking skills and the ability to work with cross-functional teams to deliver results.
• An innovative, collaborative mindset with excellent communication skills to work across teams.

Bonus Points & Other Considerations

• Experience working in the retail or consumer analytics industry.
• Experience with advanced analytics techniques like machine learning algorithms or predictive modelling.
• Proficiency in Python or R for data analysis.
• Experience with cloud-based data storage and processing platforms (e.g. AWS, Azure, GCP).
• Familiarity with big data technologies such as Hadoop, Spark, or similar.
• Relevant certifications in data analytics or data science (e.g. Google Data Analytics Certificate, Microsoft Certified Data Analyst Associate).