Description

You bridge the gap between business requirements and technical data solutions, translating stakeholder needs into actionable technical outcomes.

Responsibilities

• Translate business stakeholder requirements into technical data solutions.
• Write and optimize complex SQL queries for large datasets across relational databases.
• Use Starburst and distributed SQL engines to query decentralized architectures.
• Perform data wrangling, cleaning, and transformation tasks using Python.
• Present data-driven insights to non-technical audiences through clear communication.

Required Skills

• 7 to 10 years of experience in a data-related role such as Data Analyst, Business Intelligence Analyst, or Data Engineer.
• Advanced SQL skills for complex querying and performance optimization.
• Proficiency with relational databases including MySQL, PostgreSQL, and SQL Server.
• Experience with Starburst and distributed SQL engines in decentralized architectures.
• Beginner-level Python proficiency for data wrangling and analysis.
• Experience leveraging AWS cloud infrastructure for data storage and processing.
• Strong analytical and problem-solving skills with a focus on data accuracy.
• Ability to work independently and manage multiple projects.

Key Skills

Education

Any Graduate