Tech Support Analyst
Python
Analytics
Application Support
Business Analytics
Business Intelligence
Computer Skills
Data
Data Analysis
Data Analytics
Data Processing
Data Visualization
Data Viz
Database
Databases
Dataviz
End User Support
Help Desk Support
Incident Management
Information Technology (IT)
IT Services
ITSM
Power BI
Programming Languages
Reporting and Analytics
SQL
Tableau
Technical Support
Job Description
At Speed Express, a data-driven logistics team seeks a Tech Support Analyst to bridge the gap between business users, BI teams, and technical squads in Houston. This onsite role focuses on resolving data and system issues, supporting end users, and driving continuous improvement through analysis, with a must-have background in SQL and Python and strong communication skills.
Responsibilities
- Serve as the primary point of contact for business users, triaging data and system-related issues, coordinating with business, product, and engineering teams, and driving end-to-end resolution
- Apply SQL and Python to log and data investigations, diagnose system or data pipeline problems, and uncover root causes of user-reported issues
- 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 anomalies and escalate data quality issues to the appropriate teams
- Build and maintain operational dashboards and recurring reports that track 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
- 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
Benefits
- 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Location
Houston, TX (onsite)
Work Arrangement
On-site
Bilingual Requirement
Bilingual English and Mandarin required; Spanish is a plus
Experience
SQL: 2 years (Required); 2+ years in data analysis, technical support, or a hybrid data/operations role
Language
Mandarin (Required)
Key Competencies
- Analytical thinking
- Business acumen
- Data storytelling and communication
- Attention to detail
- Stakeholder management
- Problem-solving and critical thinking
- Curiosity and continuous learning
Preferred Qualifications
- Experience with BI and data warehouse environments
- Familiarity with dimensional data models and enterprise reporting concepts
- Experience supporting operational, financial, or executive reporting
- Knowledge of data quality validation and UAT processes
- Experience collaborating with cross-functional business teams
- Background in logistics, operations, or technical support roles
- Familiarity with API integration, log analysis, and monitoring/alerting mechanisms
- Proficiency in Excel and/or BI reporting tools for dashboards and ad hoc analysis
Required Technical Skills
- Python
- SQL
- Microsoft Excel
- Dashboard and reporting tools such as Power BI or Tableau
Analytical Skills
- Statistical analysis
- Business analysis
- Attribution analysis
- Trend and KPI analysis
Additional Skills
- AI-assisted analytics tools and productivity platforms
- Data interpretation and storytelling
- Presentation and communication skills