[Hiring] Data Analyst @AVANCE Inc

Role Description

The Data Analyst is responsible for transforming program and organizational data into meaningful, accessible insights that support program quality, continuous improvement, evaluation, grant reporting, and organizational decision-making across the AVANCE Network. This position also monitors data quality, ensuring that available data are accurate and reliable.

Job Responsibilities

• Research, Evaluation, and Program Fidelity
  • Analyze program implementation, fidelity, attendance, enrollment, retention, completion, participant outcomes, surveys, assessments, and other program data across the AVANCE Network.
  • Support the Director of Research and Evaluation in the development and refinement of evaluation questions, measurement plans, data collection tools, outcome frameworks, and reporting approaches.
  • Conduct routine and ad hoc analyses to assess program progress, trends, strengths, gaps, and opportunities for improvement.
  • Support cross-program comparisons, cohort analysis, and longitudinal tracking where data are available and appropriate.
  • Partner with the Programs Team to interpret data in ways that inform program quality, technical assistance, coaching, partner support, and continuous improvement.
  • Contribute to grant applications and reports, Board reports, strategic investor updates, internal learning reports, and external presentations.
• Data Analysis, Visualization, and Reporting
  • Develop dashboards, data visualizations, scorecards, and summary reports for leadership, program teams, chapters, partners, Board committees, and strategic investors.
  • Create standardized reports that communicate key metrics, including enrollment, attendance, retention, completion, participant outcomes, assessment results, survey results, and fidelity indicators.
  • Translate complex data into clear narratives, presentations, and recommendations for audiences with varying levels of data expertise.
  • Identify patterns, gaps, outliers, and data quality concerns in collaboration with the Data Coordinator, program staff, and site leaders.
  • Maintain recurring reporting calendars and support timely completion of monthly, quarterly, annual, and grant-specific reporting deliverables.
  • Support the development of data dictionaries, metric definitions, report templates, dashboard structures, and data visualization standards.
• Data Systems and Data Quality
  • Partner with the Data Coordinator to validate, clean, prepare, and document data for analysis and reporting.
  • Use centralized data systems, spreadsheets, survey platforms, and approved data tools to extract, combine, analyze, and report program data.
  • Support improvements to data collection, storage, and reporting processes to strengthen usability, consistency, accuracy, and timeliness.
  • Ensure analyses and reports are aligned to data governance, confidentiality, and applicable organizational policies and federal requirements.
  • Document analytic methods, assumptions, definitions, limitations, and data sources so that reports are transparent and replicable.
• Interdepartmental Coordination
  • Collaborate with Research and Evaluation, Programs, Grants, Development, Communications, Finance, IT, and other internal teams to ensure data products support organizational priorities and program decision-making.
  • Facilitate data review conversations that help teams interpret findings, ask stronger questions, and identify next steps for improvement.
  • Respond to approved data requests and prioritize analytical work in partnership with the Director of Research and Evaluation.
  • Build data literacy across teams by supporting consistent understanding and use of key metrics, dashboards, and reports.
• Stakeholder Collaboration
  • Prepare accessible data summaries for AVANCE leadership, chapter staff, partners, funders, Board committees, and other stakeholders.
  • Support partner and chapter conversations by producing actionable analyses, not just data tables.
  • Serve as a thought partner to program leaders on metrics, trends, outcomes, and improvement questions.
  • Communicate findings in culturally responsive, strengths-based, and mission-aligned ways.
• Training and Professional Development
  • Support training for dashboards, reports, data interpretation, and appropriate use of data products across the AVANCE Network.
  • Develop user guides, report guides, and other resources that help staff understand and use data accurately.
  • Engage in continuous improvement of dashboards, reports, and data processes based on user feedback.
  • Stay current on nonprofit program evaluation, data visualization, data analysis methods, and relevant technology tools.

Qualifications

• Required: Bachelor's degree in data Analytics, Statistics, Research and Evaluation, Information Systems, Education, Social Sciences, Public Policy, Economics, or a related field; or an equivalent combination of education and relevant professional experience.
• Preferred: Master's degree in data Analytics, Statistics, Research and Evaluation, Information Systems, Data Science, Public Policy, Education, or a related field.

Requirements

• Required: A minimum of three (3) years of experience in data analysis, reporting, program evaluation, applied research, or a related field.
• Experience analyzing program, participant, service delivery, outcome, or operational data and translating findings into reports or presentations.
• Advanced proficiency in Microsoft Excel, including formulas, pivot tables, data cleaning, charts, and data validation techniques.
• Experience using at least one dashboarding, reporting, or data visualization tool such as Power BI, Tableau, Looker Studio, or a similar platform.
• Experience with data cleaning, quality checking, and documentation of data definitions, assumptions, and limitations.
• Experience preparing data summaries for internal decision-making and/or external reporting.

Benefits

• Strong analytical, critical thinking, and problem-solving skills.
• Ability to communicate complex data and findings in plain language for multiple audiences.
• Strong data visualization and data storytelling skills.
• High attention to detail while managing multiple projects, requests, and deadlines.
• Strong interpersonal, communication, training, and facilitation skills.
• Ability to collaborate across departments and support staff with varying levels of data comfort and expertise.
• Ability to maintain confidentiality of work-related information and materials.
• Commitment to culturally responsive, strengths-based, and equity-centered approaches to data use and communication.