Production Support Data Analyst

Max Health
Production Support Data Analyst who is passionate about delivering exceptional service to our clinical and operational leaders. This role is responsible for ensuring that our live, production data systems operate smoothly, accurately, and reliably.

The ideal candidate will combine strong technical ability with a customer-focused mindset. This role will be working directly with physicians, senior leaders, analysts, IT, and operational teams to understand their needs, resolve issues quickly, and provide clear, professional communication. This individual will monitor, troubleshoot, and resolve data-related issues; perform root-cause analysis; and support continuous improvements to our data processes.

Experience with healthcare data is strongly preferred as this role plays a key part in supporting clinical quality, performance reporting, and value-based care initiatives.

Location
- Hybrid in Greater Tampa, 2 days per week needed in office

1099 Contractor
- Starting salary $65, 000 annum based on experience

This is a three-month assignment with the possibility of opportunity for extension into a permanent position.

• Triage and investigate production incidents, working with ticketing systems (e.g., Fresh Service, Service Now, JIRA).
• Escalate issues as needed and coordinate with analytics, engineering, or business teams for resolution.

• Use SQL (or other query tools) to dive into data, validate inputs and outputs, and identify data discrepancies.
• Analyze log files, system alerts, or script execution results to diagnose problems.
• Propose and implement data fixes or short-term workarounds when necessary.

• Participate in deployment activities (especially for data systems), including cutover planning, data migrations, and data model changes.
• Assist in sandbox or "go-live" support, helping with on-call rotations for after-hours support.

• Identify recurring production data issues and propose long-term process improvements.
• Write or help maintain runbooks and knowledge-base articles for frequently occurring issues.
• Automate manual checks, alerts, or remediation tasks where possible (using scripting, monitoring tools, etc.).

• Liaise with data engineering, data platform, business intelligence (BI), and business stakeholder teams.
• Provide status updates, incident reports, and postmortem summaries.
• Train other team members or stakeholders on data issue patterns and resolution strategies.

• Maintain detailed documentation of data processes, workflows, and troubleshooting steps.
• Keep track of data system architecture, dependencies, and interfaces.

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, or equivalent experience.
• 2-5 years of experience in a data support, data operations, or production support role.
• Excellent communication and customer-service skills, with the ability to translate technical findings for physicians, senior leaders, and non-technical stakeholders.
• Strong SQL skills (T‑SQL), including ability to debug procedures, views, and transformations.
• Hands‑on experience supporting ETL or data integration tools (ADF, SSIS, or similar).
• Experience working with healthcare datasets (claims, eligibility, encounters, or payer data).
• Strong analytical and problem‑solving ability with a high attention to detail.
• Familiarity with version control tools (Git, Dev Ops).
• Ability to communicate clearly with technical teams and business stakeholders.
• Understanding of HIPAA compliance, data privacy requirements, and secure data handling.

• Experience with Azure Data Factory, Fabric, Databricks, or other cloud data services.
• Exposure to HEDIS quality measures or related reporting logic.
• Knowledge of Medicare Risk Adjustment workflows, datasets, or HCC/RAF concepts.
• Experience supporting BI tools (Power BI, Domo).
• Scripting experience (Python, Power Shell) for automation and monitoring enhancements.
• Background in managed care, value-based care, or health plan operations.

Max…