Provides user-facing data and technical support by troubleshooting system and data issues, investigating anomalies with SQL and Python, validating reports and dashboards, and coordinating resolutions with BI, engineering, product, and operations teams. Builds support dashboards and reports, maintains data definitions and governance documentation, participates in UAT and QA, performs post-incident reviews, and develops support playbooks. Communicates technical findings to non-technical stakeholders and uses AI-assisted analytics to improve investigations and business insights.
Position Summary
We are seeking a detail-oriented and technically skilled Data/Tech Support Analyst to serve as the bridge between business users, BI teams, and technical teams. This role is responsible for resolving data and system issues, supporting end users, and leveraging data analysis to diagnose problems and drive continuous improvement.
The ideal candidate combines solid SQL/Python skills with strong communication and troubleshooting ability. This role works closely with operational teams, product managers, BI developers, and engineers to triage user-reported issues, investigate data anomalies, and ensure reliable data and system performance.
Key Responsibilities
- Serve as the primary point of contact for business users; triage data and system-related issues, coordinate with business, product, and engineering teams, and drive end-to-end resolution
- Use SQL and Python to perform log and data investigation, diagnose system or data pipeline 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
Required Qualifications
- Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Economics, Information Systems, Finance, or 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; comfort with on-call or shift-based support arrangements
Required Technical Skills
Analytics & Reporting
- Python
- SQL
- Microsoft Excel
- Dashboard and reporting tools (Power BI, Tableau, or similar)
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
Preferred Qualifications
- Experience working 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 working with cross-functional business teams
- Experience 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 dashboard creation and ad hoc analysis
Key Competencies
- Analytical thinking
- Business acumen
- Data storytelling and communication
- Attention to detail
- Stakeholder management
- Problem-solving and critical thinking
- Curiosity and continuous learning
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Develop and maintain backend software for programmatic advertising systems. Responsibilities include designing applications, writing efficient code, implementing unit and integration tests, documenting development and deployment processes, analyzing integration and architecture needs, troubleshooting issues, collaborating with QA, participating in code reviews, and improving application performance and reliability.
Top Skills:
PHPPython
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Design, prototype, test, and deploy software applications and emerging technology solutions. Evaluate generative AI, LLMs, automation, cloud services, APIs, and modern development platforms; convert ideas into proofs of concept, pilots, and production features. Apply secure, scalable engineering practices while collaborating with product, architecture, data, security, operations, and business teams. Communicate technical tradeoffs, mentor others, document learnings, and help transition successful experiments into enterprise-ready solutions.
Top Skills:
Ai-Assisted DevelopmentAPIsAutomation PlatformsCloud PlatformsCloud-Native ServicesData PipelinesDevOpsGenerative AiIntelligent AutomationLarge Language Models (Llms)MicroservicesObservability ToolsPrompt EngineeringRetrieval-Augmented Generation (Rag)Vector Databases
eCommerce • Information Technology • Retail • Industrial
Design, train, validate, and deploy machine learning and deep learning models for e-procurement use cases including prediction, ranking, recommendations, entity resolution, document intelligence, and automation. Perform exploratory data analysis, feature engineering, experimentation, model evaluation, and error analysis. Build maintainable Python and SQL workflows, collaborate with engineering and product teams, and communicate technical findings to diverse stakeholders.
Top Skills:
AirflowDatabricksDeep LearningDjangoDockerFastapiFlaskFoundation ModelsKubernetesMachine LearningMlflowNumpyPandasPrefectPythonPyTorchScikit-LearnScipySnowflakeSQLStatistical ModelingStatsmodels
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
