{"id":3774663,"url":"https://alion.io/job/group-peer-support-program-evaluation-data-analyst","title":"Program Evaluation & Data Analyst","company":{"id":4417657,"name":"Group Peer Support","domain":"grouppeersupport.org","url":"https://alion.io/company/grouppeersupport","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Sheets","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SPSS","optional":true},{"name":"Stata","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-04T18:53:26Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T22:04:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Program Evaluation & Data Analyst\nPosition Overview\nThe Program Evaluation & Data Analyst will support GPS's program data management, monitoring, reporting, quality assurance, and evaluation activities.\nReporting to Vice President of Programs and working closely with the Evaluation & Quality Assurance Lead, this position will assume primary responsibility for day-to-day program data operations, including data extraction, cleaning, validation, reconciliation, reporting preparation, and maintenance of program datasets.\nThe analyst will work across multiple data collection and management platforms to identify and resolve discrepancies, improve data accuracy and consistency, and ensure that reliable information is available for program monitoring, funder reporting, and external evaluation activities.\nThe position will also support ongoing evaluation efforts through data preparation, descriptive analysis, performance indicator tracking, reporting documentation, and coordination of designated evaluation activities.\nThis is a hands-on, applied position suited to a detail-oriented and analytically skilled professional who is comfortable working with complex, real-world datasets, independently investigating data quality issues, and collaborating across program, administrative, technical, and evaluation teams.\nThe successful candidate will combine strong quantitative skills with practical problem-solving abilities, sound judgment, excellent organizational skills, and an interest in using data to strengthen program implementation and continuous improvement.\nKey Responsibilities\n1. Program Data Management, Extraction & Quality Assurance (40%)\nExtract, compile, organize, and consolidate program data from multiple systems, including participant registration platforms, attendance records, learning management systems, participant surveys, and program tracking tools.\nMaintain accurate, organized, and standardized datasets, reporting files, data dictionaries, and supporting documentation.\nConduct routine data cleaning, validation, reconciliation, and quality assurance reviews to assess completeness, accuracy, consistency, and integrity.\nIdentify, investigate, and document discrepancies across systems, including missing records, inconsistent dates, duplicate entries, incomplete survey responses, and conflicting participant information.\nMaintain data quality tracking logs documenting identified issues, corrective actions, responsible parties, and resolution status.\nCollaborate with internal program staff and external technical vendors to investigate data discrepancies, troubleshoot reporting issues, and verify system corrections.\nDevelop and maintain standardized procedures for data extraction, cleaning, validation, reconciliation, and documentation.\nSupport updates to data collection forms, survey instruments, tracking templates, and reporting tools as program and evaluation requirements evolve.\nEnsure appropriate confidentiality, data security, and responsible handling of participant-level information.\n2. Monthly Data Reporting & Funder Submissions (25%)\nCoordinate the preparation of monthly program datasets for funder reporting and external evaluation activities.\nExtract and consolidate data from relevant platforms in accordance with established reporting specifications, definitions, and deadlines.\nConduct pre-submission quality assurance checks to verify that reporting files are accurate, complete, internally consistent, and appropriately formatted.\nPrepare accompanying documentation, including cover letters, reporting-period summaries, data source descriptions, identified limitations, notable changes, and unresolved discrepancies.\nMaintain documentation of reporting definitions, assumptions, corrections, and data preparation procedures.\nCollaborate with the Evaluation & Quality Assurance Lead to review reporting files, resolve discrepancies, and ensure consistency with established evaluation requirements.\nSupport responses to routine data clarification requests from funders and external evaluation partners.\nMaintain an organized archive of submitted datasets, supporting documentation, and reporting records to ensure transparency and reproducibility.\nTrack reporting deadlines and communicate potential delays or data quality concerns to Vice President of Programs and designated evaluation staff.This is a part-time, fully remote position requiring approximately 20-25 hours per week, with the potential to transition to full-time as organizational needs and funding allow. The position offers scheduling flexibility, with availability required for designated team meetings, reporting deadlines, and coordination with external partners.\n\n3. Program Data Analysis & Performance Monitoring (15%)\nConduct descriptive and exploratory analyses of program data to monitor implementation, participation, engagement, and emerging program outcomes.\nCalculate and track established performance indicators, including participant enrollment, attendance, retention, repeat participation, training completion, survey response rates, and other relevant measures.\nAnalyze trends across reporting periods, programs, implementation partners, and other relevant categories.\nIdentify patterns, potential data gaps, and emerging issues that may affect program implementation or reporting.\nDevelop and maintain dashboards, performance tracking tools, summary tables, and other data visualizations.\nPrepare concise analytical summaries highlighting key findings, trends, limitations, and potential implications for program improvement.\nSupport the preparation of quarterly reports, funder updates, and internal performance summaries.\nEnsure consistency of reported figures across datasets, dashboards, reports, and other organizational materials.\n4. Evaluation Implementation & Support (10%)\nSupport implementation of GPS's established evaluation activities in collaboration with the Evaluation & Quality Assurance Lead and external evaluation partners.\nMaintain evaluation tracking systems and documentation to monitor data collection activities, timelines, and deliverables.\nSupport participant follow-up and longitudinal data collection activities, including survey administration, participant tracking, and data linkage across reporting periods.\nMonitor participant survey completion, follow-up eligibility, response rates, and missing data.\nAssist with organizing and preparing qualitative and quantitative datasets for evaluation activities.\nSupport participant interviews and qualitative coding activities when assigned, following approved protocols and established evaluation methods.\nDocument changes in data collection procedures, program implementation, and reporting practices that may affect interpretation or comparability of findings.\nAssist with synthesizing findings and preparing supporting tables, visualizations, and documentation for evaluation reports.\nThe analyst will provide operational and analytical support for evaluation activities. Overall evaluation methodology, research design, and interpretation of complex evaluation findings will remain under the guidance of the designated evaluation lead and external evaluation partners.\n5. Cross-Functional Coordination & Process Improvement (10%)\nCollaborate with Vice President of Programs, Program Coordinator, Evaluation & Quality Assurance Lead, administrative staff, and external technical partners to support accurate and timely data collection and reporting.\nParticipate in regular data review and coordination meetings to identify priorities, review discrepancies, and monitor corrective actions.\nCommunicate data quality issues, reporting risks, and recommended solutions clearly and promptly.\nCoordinate with technical vendors to troubleshoot system issues and confirm that corrections are reflected accurately in reporting datasets.\nDevelop practical tools, templates, and documentation to strengthen data quality, reporting efficiency, and consistency.\nProvide guidance to program staff on data entry requirements, tracking procedures, reporting definitions, and documentation practices.\nIdentify opportunities to streamline data workflows, reduce manual reconciliation, and improve the reliability of program reporting.\nPerform other related data management, reporting, analysis, and evaluation duties as assigned.\nRequired Qualifications\nProfessional Experience & Competencies\nDemonstrated hands-on experience managing programmatic, operational, or research datasets, including data extraction, cleaning, validation, reconciliation, and analysis.\nExperience working with information collected across multiple platforms or data sources.\nExperience preparing analytical reports, tables, charts, dashboards, or other data products for organizational, programmatic, or research audiences.\nFamiliarity with program monitoring, performance measurement, evaluation, or applied data analysis.\nUnderstanding of survey administration, data collection methods, performance indicators, and basic evaluation principles.\nStrong analytical reasoning and problem-solving skills, including the ability to independently investigate discrepancies and identify practical solutions.\nExceptional attention to detail and a systematic approach to data validation and documentation.\nStrong organizational and time management skills, including the ability to manage recurring reporting deadlines and competing priorities.\nExcellent written communication skills, including the ability to prepare concise analytical summaries, data quality documentation, and technical explanations.\nStrong interpersonal skills and the ability to collaborate effectively with program staff, technical vendors, and evaluation partners.\nAbility to work independently and reliably in a remote environment.\nCommitment to confidentiality, ethical data practices, and responsible handling of sensitive participant information.\nTechnical Qualifications\nAdvanced proficiency in Microsoft Excel and/or Google Sheets, including pivot tables, lookup functions, advanced formulas, data validation, filtering, data cleaning, and reconciliation.\nExperience importing, merging, organizing, reshaping, and analyzing datasets from multiple sources.\nAbility to create repeatable, well-documented data preparation and reporting workflows.\nProficiency in developing charts, tables, dashboards, and other data visualizations using spreadsheet applications or comparable tools.\nExperience using online survey platforms, learning management systems, registration databases, or comparable data collection and management systems.\nAbility to learn new technology platforms quickly, troubleshoot data inconsistencies, and collaborate with technical support teams.\nPreferred Qualifications\nExperience using statistical or data analysis tools such as R, Python, SPSS, Stata, or comparable software.\nFamiliarity with Power BI, Tableau, Looker Studio, or other dashboard and business intelligence tools.\nExperience using survey platforms such as Alchemer, Qualtrics, or SurveyMonkey.\nFamiliarity with learning management systems such as LearnWorlds and CRM platforms such as HubSpot.\nExperience managing participant-level data across multiple program activities or longitudinal follow-up periods.\nExperience supporting qualitative interviews, thematic coding, or mixed-methods evaluations.\nExperience preparing funder reports or collaborating with external evaluation teams.\nExperience working in healthcare, behavioral health, healthcare workforce well-being, peer support, public health, or community-based programs.\nExperience developing standardized data quality procedures, reporting templates, or process improvements.\nEducation\nBachelor's degree in Public Health, Statistics, Data Analytics, Epidemiology, Psychology, Health Informatics, Program Evaluation, Social Sciences, or a related discipline, or an equivalent combination of education and relevant applied experience.\nMaster's degree in Public Health (MPH), Epidemiology, 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