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)