This role involves data analysis, building logic for analytics/data solutions, collaborating with stakeholders, and optimizing data workflows to support advanced analytics and business intelligence initiatives.
Key Responsibilities
- Analyse complex datasets to uncover insights, trends, and patterns that support strategic and operational decision‑making.
- Design and build analytical logic, data models, and calculations to enable scalable analytics and business intelligence solutions.
- Collaborate closely with business stakeholders to understand requirements, translate them into analytical use cases, and deliver actionable insights.
- Validate data sources and outputs to ensure consistency, reliability, and alignment with business definitions and KPIs.
- Partner with engineering, data science, and BI teams to implement end‑to‑end analytics solutions.
- Bachelors / Master’s degree in Finance, Economics, Statistics, Engineering or a related quantitative field from a top-tier university
- Python & Advanced SQL: 2+ years of hands-on experience with performance tuning and complex query optimization.
- Strong analytical & problem-solving skills and proficiency in Microsoft Excel and PowerPoint
- Excellent communication, presentation and storytelling skills with data-driven orientation, and comfort operating in fast-evolving, ambiguous environments
Desirable Skills (Good-to-Have)
- Experience with cloud-native data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
- Working knowledge of data visualization software such as Tableau, Power BI and Looker
- Hands-on experience with cloud platforms: AWS, Azure, or GCP.
