Job Description: 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.
Responsibilities: 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.
Qualifications: 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.