Data Analyst

Role Overview: We are looking for a detail-oriented Data Analyst who can convert complex data into meaningful insights that help drive business decisions. The ideal candidate should have strong expertise in SQL, Python, and data visualisation tools and experience working with large datasets.

• Collect, clean, and analyse large datasets to identify trends and patterns.
• Write complex SQL and MongoDB queries to extract and manipulate data.
• Build dashboards and reports using BI tools like Power BI or Tableau.
• Perform data validation, quality checks, and anomaly detection.
• Conduct exploratory data analysis (EDA) and generate actionable insights.
• Automate data processes using Python scripting.
• Collaborate with business, product, and engineering teams to understand data requirements.
• Present insights and reports clearly to stakeholders to support decision-making.

• Strong knowledge of SQL
• Experience with Python (Pandas, NumPy)
• Data visualisation using Power BI, Tableau, or similar BI tools
• Advanced Microsoft Excel (pivot tables, formulas, data analysis)
• Understanding of ETL processes
• Basic knowledge of statistics and data modelling

• Experience with Apache Airflow
• Experience with Apache Spark
• Exposure to cloud platforms such as Amazon Web Services or Google Cloud

• Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 3-5 years of experience in a Data Analyst or Analytics role

• Experience working with large datasets and data warehouses
• Exposure to business analytics, product analytics, or risk analytics
• Ability to translate business problems into data-driven solutions

• Competitive salary package
• Opportunity to work in a fast-growing FinTech environment
• Continuous learning and career development opportunities
• Collaborative and innovative work culture

• Data Analyst
• Power Bi
• Tableau