Data Analyst

Job TitleResponsibilities Have a deep understanding of business needs, application functionality, underlying data processes, and data integration workflows. Build strong relationships to serve as the point of contact for IT developers, data teams, and business stakeholders. Initiate preliminary business requirements, assess needs, and implement appropriate solutions. Evaluate business processes by tracking, trending, and analyzing work processes. Troubleshoot issues, identify root causes, and recommend solutions to management. Reconcile client accounts related to enrollment and ID card activities by comparing client files to internal data sets. Analyze and summarize results for leadership, internal business partners, and external customers. Utilize SQL Server, Power Query, and Python to extract, transform, analyze, validate, and automate data processes and reporting activities. Develop and maintain queries, reports, dashboards, and data models to support operational analysis, decision-making, and performance monitoring. Research incident tickets and email inquiries, answer program and application functionality questions, and identify application defects and data issues. Track timely resolution by IT development teams. Participate in meetings and sprint planning sessions to ensure technical partners are progressing toward sprint goals and development milestones are on track. Assist in training staff or collaborate with trainers to implement new procedures with minimal business disruption. Respond to complex special requests that may include data analysis, research, investigation, evaluation, and documentation of findings. Develop and maintain work procedure manuals, process documentation, and technical reference materials. Serve as project lead for business initiatives that have a broad impact on processes, procedures, workflows, and system functionality. Perform other duties as assigned.QualificationsBachelor's degree in Business Administration, Information Systems, Computer Science, Data Analytics, or a related field preferred; or equivalent experience. Minimum of 3-4 years of relevant business analysis, data analysis, or operational experience required. Demonstrated experience working with Microsoft SQL Server, including writing, and troubleshooting SQL queries to analyze and validate data. Experience using Power Query for data extraction, transformation, automation, and reporting. Experience with Python for data analysis, data validation, process automation, and reporting is required/preferred. Proficient in Microsoft Office Suite, including advanced Excel functions, and SQL-based data analysis tools. Self-motivated, highly organized, and detail-oriented with strong analytical, critical thinking, and problem-solving skills. Ability to work in a fast-paced, multi-task environment with effective time management and project management skills. Excellent written and verbal communication, collaboration, and customer service skills to support business teams, technology partners, and stakeholders. Strong understanding of data structures, business processes, and system functionality within a production environment. Must have thorough technical knowledge of business systems, applications, and related data flows. Ability to independently manage projects, identify business opportunities, and implement solutions with minimal supervision.Preferred Technical SkillsSQL Server Management Studio (SSMS) T-SQL query development and data analysis Power Query and Power BI Python (Pandas, NumPy, data automation, reporting) Data reconciliation, data quality analysis, and root cause investigation Agile/Scrum project methodologies