Production Support Data Analyst Healthcare

Production Support Data AnalystRemote Permanent PositionSalary: 110K +
Healthcare experience is requiredMust have SQL (queries) and Tableau for reporting. Python and Databricks is a big plus but not required
Position SummaryThe Production Support Data Analyst is responsible for providing timely analysis, investigation, and resolution of data-related requests and production support issues submitted by business users. This role serves as the primary point of contact for incoming data tickets, performing research, root cause analysis, triage, and reporting enhancements to support business operations.The ideal candidate possesses strong analytical and technical skills, including expertise in SQL, Python, Databricks, and Tableau, along with exceptional communication abilities. Success in this role requires the ability to quickly understand business requirements, collaborate with stakeholders, and deliver accurate data solutions within tight timelines.
Key Responsibilities
Production Support & Ticket Management

• Review, prioritize, and manage incoming data support tickets and user requests.
• Investigate data discrepancies, reporting issues, and production incidents.
• Perform root cause analysis and develop corrective actions to resolve issues.
• Triage requests based on business impact, complexity, and urgency.
• Ensure timely resolution of support requests while maintaining high-quality service levels.
• Document findings, resolutions, and recommendations for future reference.

Data Analysis & Reporting

• Analyze data from multiple sources to identify trends, anomalies, and business impacts.
• Write and optimize complex SQL queries to support data investigations and reporting requirements.
• Use Python and Databricks to perform advanced data analysis, validation, and troubleshooting.
• Develop, modify, and maintain Tableau dashboards, reports, and visualizations based on business requirements.
• Validate data accuracy and ensure consistency across reports and systems.
• Translate business questions into actionable data insights.

Stakeholder Collaboration

• Engage directly with business users to understand objectives, desired outcomes, and problem statements.
• Gather and clarify requirements to ensure accurate and complete solutions.
• Communicate investigation results, recommendations, and status updates in a clear and professional manner.
• Partner with cross-functional teams, including business stakeholders, data engineering, application support, and leadership.
• Provide guidance and recommendations on data availability, quality, and reporting capabilities.

Continuous Improvement

• Identify recurring issues and recommend process improvements to reduce support volume.
• Contribute to knowledge base documentation, support procedures, and best practices.
• Assist in enhancing reporting, monitoring, and data validation processes.
• Support initiatives focused on improving data quality, operational efficiency, and user satisfaction.

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, Data Analytics, Business Analytics, or related field, or equivalent work experience.
• 3+ years of experience in data analysis, production support, reporting, or related roles.
• Strong experience with:
  • SQL
  • Python
  • Databricks
  • Tableau
• Experience investigating and resolving data-related issues in a production environment.
• Ability to analyze complex datasets and identify root causes of data discrepancies.
• Strong understanding of data structures, databases, and reporting methodologies.
• Experience managing multiple priorities in a fast-paced environment.
• Excellent problem-solving and analytical skills.

Preferred Qualifications

• Experience supporting enterprise data platforms and data warehouses.
• Knowledge of ETL processes and data pipelines.
• Familiarity with cloud-based analytics environments (Azure preferred).
• Experience working within Agile or IT service management environments.
• Understanding of data governance and data quality best practices.

Key Competencies

• Strong verbal and written communication skills.
• Customer-focused mindset with a commitment to service excellence.
• Ability to quickly respond to and resolve end-user requests.
• Exceptional attention to detail and accuracy.
• Strong collaboration and relationship-building skills.
• Ability to translate technical findings into business-friendly language.
• Self-motivated with the ability to work independently and as part of a team.
• Strong organizational and time management skills.

Success Metrics

• Timely resolution of data support tickets and user requests.
• High stakeholder satisfaction and effective communication.
• Accurate and reliable reporting deliverables.
• Reduced recurring production issues through root cause analysis.
• Continuous improvement of reporting, support processes, and data quality.