Senior Data Analyst

Senior Data Analyst position supports organizational performance, accountability, and data-informed decision-making within the Department.

• Supervise the daily work of Data Analysts
  , including assigning and prioritizing tasks, setting expectations and deadlines, reviewing deliverables, and providing ongoing guidance and feedback.
• Train, coach, and develop Data Analysts in data extraction, querying, data cleaning, merging and validation, statistical and quantitative analysis, report development, performance measurement, visualization, and interpretation.
• Review datasets, analyses, reports, dashboards, visualizations, and other work products for accuracy
  , completeness
  , consistency
  , appropriate methodology, and clear interpretation prior to dissemination.
• Establish consistent processes, documentation requirements, and quality standards for departmental data analysis and reporting.
• Build capacity so Data Analysts can independently manage increasingly complex assignments and communicate findings to leadership and stakeholders.
• Provide technical guidance and serve as a resource on appropriate data collection, analysis, interpretation, presentation, and use of data.
• Promote a culture of data integrity, accountability, continuous learning, and data-informed decision-making.
• Independently collect, extract, clean, organize, transform, merge, validate, and analyze data from department case management systems, relational databases, spreadsheets, reports, and other data sources.
• Independently lead routine, complex, ad hoc, and time-sensitive data requests from Department leadership, the judiciary, OCJ leadership, government partners, service providers, funders, and other authorized stakeholders.
• Select suitable data sources, measures, methodologies, and analytical approaches based on each request’s purpose and scope.
• Conduct descriptive, comparative, trend, outcome, caseload, workload, performance, and other analyses to identify trends, patterns, variations, disparities, anomalies, and areas needing further review.
• Develop recurring and ad hoc reports to support operational management, strategic planning, program evaluation, quality improvement, policy development, budgeting, grants, and executive decision-making.
• Translate complex quantitative information into clear tables, charts, visualizations, dashboards, summaries, presentations, and written narratives for technical and non-technical audiences.
• Interpret findings and develop clear conclusions, recommendations, and actionable information for Department leadership.
• Respond to expedited requests while maintaining accuracy, validation, confidentiality, documentation, and quality standards.
• Communicate data limitations, assumptions, definitions, methodologies, and other factors required for correct interpretation.
• Lead and support development and maintenance of performance measures, indicators, benchmarks, outcome measures, and reporting processes used to monitor operations, service delivery, organizational performance, and youth outcomes.
• Monitor organizational and program performance, identifying significant trends, changes, inconsistencies, or emerging issues requiring leadership attention.
• Partner with leadership and operational staff to define meaningful measures of performance, efficiency, quality, service delivery, and outcomes.
• Lead and support evaluation of departmental programs, initiatives, policies, evidence-based practices, and implementation efforts; assist with interpreting performance information and identifying improvement opportunities.
• Analyze program utilization, referrals, caseloads, supervision practices, services, interventions, and youth outcomes as appropriate.
• Provide data and analysis to support grant applications and reporting, budget development, audits, compliance reviews, strategic priorities, and other departmental requirements.
• Lead efforts to evaluate and improve accuracy, completeness, consistency, reliability, and usability of data maintained within department systems and other data sources.
• Conduct and oversee data-quality reviews, identifying missing, duplicate, inconsistent, inaccurate, or potentially unreliable information.
• Investigate data-quality concerns and work with operational staff,
  OCJ MIS
  , and other appropriate personnel to resolve discrepancies and system-related issues.
• Develop and implement standardized data definitions, documentation, validation processes, quality-control procedures, and reporting practices.
• Develop, maintain, and…