Data analyst

Industry & Sector:

Primary Job Title:

• Design, write and optimize complex SQL queries to extract, transform and validate data from transactional and analytical databases.
• Build and maintain automated ETL processes and clean datasets using Python (pandas) and Excel to support recurring reporting needs.
• Create interactive dashboards and executive reports in Power BI and Tableau that surface key metrics, trends and root-cause analysis.
• Perform ad-hoc analysis, A/B testing and statistical summarisation to answer business questions and recommend data-backed actions.
• Implement data-quality checks, monitor KPI health, and document data lineage to ensure accuracy and reproducibility of insights.
• Partner with product, operations and commercial stakeholders to define metrics, translate requirements into analytics deliverables, and present findings to non-technical audiences.
  

Skills & Qualifications

Must-Have

• Proficiency in SQL for analytical queries and data modelling
• Practical experience with Python (pandas) for data wrangling and automation
• Advanced Excel skills including pivot tables and lookups
• Experience building dashboards and visual reports in Power BI or Tableau
• Strong knowledge of data validation, ETL concepts and KPI instrumentation
• Bachelor's degree in a quantitative discipline or equivalent practical analytics experience
  

Preferred

• Familiarity with cloud data platforms or modern warehouses (e.g., Snowflake, BigQuery)
• Experience with BI modelling tools or semantic layers (Looker/Metabase)
  

• Competitive compensation with performance-linked incentives and clear growth path
• Hands-on, collaborative analytics team with mentorship and upskilling support
• On-site role enabling close cross-functional collaboration and high-impact delivery