About the Role To unlock value from data by making it accessible, meaningful and actionable for stakeholders across the organisation. This role transforms complex data into insights that support strategic decision-making, optimise operations and improve business performance. By identifying trends, patterns and prospects, the Data Analyst enables informed, data-driven decisions and contributes to our goal of being an insights-driven organisation.

Responsibilities
Engage stakeholders directly — gather requirements, understand business needs and prototype initial solutions
Perform complex data analysis and statistical modelling2 on high-volume datasets
Work with cross-functional teams to understand business needs and deliver data-driven insights
Communicate and present findings and recommendations to non-technical stakeholders
Contribute to data modelling and get exposure to engineering concepts
Use AI tools — including Copilot and Claude — as active partners in your analysis, not just shortcuts
Honours degree in an analytics or STEM or related field, PLUS at least 5yrs relevant experience OR
Bachelor degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience OR




Equivalent experience of 8 yrs relevant experience and/or relevant certifications.
Proven experience in data analysis at high-volume scale
Track record of leading data analysis projects and driving business impact through data insights
Advanced use of SQL, Python, R, Tableau or Power BI
Experience working with cross-functional teams to understand business needs and deliver insights
Experience presenting findings and recommendations to non-technical stakeholders

Requirements
Bachelor's Degree in Analytical/Data/Technical or Other
Transparent criminal and credit record

Preferred Qualifications
Honours Degree in Analytical/Data/Technical or Other
Advanced SQL — complex queries, performance optimisation and large datasets
Advanced Excel, including macros and VBA
Data visualisation tools — Tableau, Power BI or similar
Python or R
Statistical methods and predictive analytics techniques and their application in data analysis
Data modelling techniques to structure and organise data effectively
Risk analysis methods and their application in financial services

📌 Data Analyst Ajmer (India)
🏢 Techrepo.co.za
📍 India