Data Analyst

We are seeking a Data/Support Analyst to join our growing Analytics/tech-support team.

This hybrid role bridges data analysis, technical investigation, and hands-on coding, supporting our internal stakeholders by resolving data issues, maintaining script-based tools, and providing technical insights.

The ideal candidate has a strong analytical mindset, excellent Python and SQL skills, experience working with Athena or large-scale datasets, and a sharp attention to detail.

Key Responsibilities:

Investigate and resolve data inconsistencies or anomalies raised by business or engineering teams
Write and debug Python scripts to automate checks, extract insights, or fix data issues
Run and adapt SQL queries (Athena and standard RDBMS) for data investigations
Analyze logs and data flows to troubleshoot technical problems
Build or support internal tools for monitoring, analysis, or reporting
Collaborate with product, data, and engineering teams to ensure data quality and integrity
Maintain clean documentation of findings, tools, and processes
REQUIREMENTS
Bachelor’s degree in a technical field (Computer Science, Engineering, Data Science), or equivalent practical experience
Experience - 3 years in a technical analytics, data support, or operational engineering role
Strong Python skills for scripting, automation, and basic data processing
Proficient in SQL, including joins, filtering, and analytical queries
Familiarity with Git and basic version control
Hands-on experience with AI tools (Copilot, Cursor, Chatgpt etc)