Tech Support Analyst

Responsibilities

• Serve as the primary contact for business users, triaging data and system issues, coordinating with business, product, and engineering teams, and driving end-to-end resolution
• Utilize SQL and Python to investigate logs and data pipelines, diagnose system or data issues, and identify root causes of user-reported problems
• Provide routine configuration and account/permission support; assist with on-site support and shift-based coverage as needed
• Monitor and validate data accuracy across reports, dashboards, and data feeds; proactively flag and escalate anomalies and data quality issues to relevant teams
• Build and maintain operational dashboards and recurring reports tracking support metrics, system health, and issue resolution trends
• Communicate investigation results and data findings clearly to both technical and non-technical stakeholders
• Collaborate with BI Developers, Data Engineers, and product teams to investigate and resolve data pipeline, reporting, and user data questions (report definitions, data interpretation, anomaly investigation)
• Participate in UAT and QA activities; conduct post-incident reviews, document lessons learned, and develop standardized support playbooks and knowledge base documentation
• Maintain data definitions, KPI standards, and governance documentation; work with operations teams to identify opportunities to improve data tooling and support processes
• Leverage AI-assisted analytics tools to improve investigation efficiency and insight generation; support trend analysis and business performance evaluation where applicable

Requirements

• Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Economics, Information Systems, Finance, or a related field
• 2+ years of experience in data analysis, technical support, or a hybrid data/operations support role
• Strong analytical and problem-solving skills
• Ability to communicate technical findings to non-technical audiences
• Strong troubleshooting mindset with the ability to independently investigate and resolve data and system issues
• Experience providing user-facing support; comfortable with on-call or shift-based support arrangements

Technologies

• Python
• SQL
• Microsoft Excel
• Power BI
• Tableau
• AI-assisted analytics tools
• Productivity platforms

Benefits

• 401(k)
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Paid time off
• Vision insurance

Language

• Mandarin (Required)

Experience

• SQL: 2 years (Required)

Work Location

• On-site in Dallas-Fort Worth, TX

Pay

• From $65,000 per year