Senior Data Analyst

Senior Data Analyst Location: Cranston, RI (Hybrid work schedule - 2 remote, 3 onsite) Duration: 2 Years Contract with possibility of extensions Hours/week: 35 Responsibilities Analyze, evaluate, and interpret financial, operational, utilization, and program performance data to support decision-making and improve service delivery. Develop, maintain, and enhance recurring reports, dashboards, and data visualizations to monitor program performance, outcomes, and regulatory compliance. Perform independent data analysis to support eligibility tracking, fiscal assessments, service planning, budgeting, and legislative reporting. Utilize multiple data sources and enterprise systems to identify trends, measure outcomes, and generate actionable insights for business and program stakeholders. Produce standardized and ad hoc reports within established timelines to support strategic planning, policy development, and executive decision-making. Collaborate with cross-functional teams, including program, policy, finance, compliance, and analytics personnel, to define reporting requirements and improve data quality. Develop standardized financial and operational reports to support program oversight, performance measurement, and resource allocation. Provide technical guidance and support to internal stakeholders on reporting tools, performance metrics, dashboards, and data interpretation. Monitor key performance indicators (KPIs) and recommend process improvements based on data-driven analysis and business trends. Ensure data accuracy, integrity, and compliance with organizational policies, regulatory requirements, and reporting standards. Support research, data evaluation, and compliance initiatives by delivering meaningful analytical solutions and performance insights. Contribute to initiatives focused on improving service accessibility, operational efficiency, quality outcomes, and organizational performance through data-driven decision-making. Required Skills Demonstrated successful experience drawing insights from complex and imperfect data sets and improving data quality/cleaning. Demonstrated successful experience performing analytic tasks as part of a multidisciplinary team involving programmatic, clinical, or administrative staff. Demonstrated experience partnering with executive leadership and key stakeholders to provide timely, accurate, and concise analysis, reporting, and decision support while managing multiple priorities and meeting established timelines. Experience with Microsoft Access, VBA, SQL, Python, R, STATA, DAX or other analytical and automation tools. Experience with data visualization tools in PowerBI, Power Query and Excel. Information Resource Group