Program Evaluation, Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Extract, compile, organize, and consolidate program data from various systems.

• Maintain standardized datasets, reporting files, data dictionaries, and documentation.

• Perform data cleaning, validation, reconciliation, and quality assurance reviews.

• Investigate and document missing records, inconsistent dates, duplicate entries, incomplete surveys, and conflicting participant information.

• Keep data quality tracking logs and coordinate corrective actions.

• Collaborate with program staff and technical vendors to resolve discrepancies and troubleshoot reporting issues.

• Develop standardized procedures for data extraction, cleaning, validation, reconciliation, and documentation.

• Prepare monthly program datasets and submissions for funders and external evaluation activities.

• Conduct pre-submission quality assurance checks and prepare reporting documentation.

• Maintain reporting archives and monitor deadlines.

• Execute descriptive and exploratory analyses of program data.

• Calculate and track performance indicators such as enrollment, attendance, retention, repeat participation, completion, and survey response rates.

• Create dashboards, performance tracking tools, summary tables, and data visualizations.

• Prepare analytical summaries, quarterly reports, funder updates, and internal performance summaries.

• Support evaluation activities, participant follow-up, longitudinal data collection, survey administration, participant tracking, and data linkage.

• Assist with qualitative and quantitative dataset preparation, participant interviews, qualitative coding, and evaluation reporting.

• Coordinate data review meetings and communicate data quality issues and reporting risks.

• Provide guidance on data entry, tracking procedures, reporting definitions, and documentation practices.

• Identify opportunities to streamline workflows and enhance reporting reliability.

⛳️ Requirements

• Proven hands-on experience in managing programmatic, operational, or research datasets, including data extraction, cleaning, validation, reconciliation, and analysis.

• Experience working with information gathered from multiple platforms or data sources.

• Proficient in preparing analytical reports, tables, charts, dashboards, or other data products.

• Familiarity with program monitoring, performance measurement, evaluation, or applied data analysis.

• Understanding of survey administration, data collection methods, performance indicators, and basic evaluation principles.

• Strong analytical reasoning and problem-solving capabilities.

• Exceptional attention to detail and a systematic approach to data validation and documentation.

• Excellent organizational and time management skills.

• Outstanding written communication abilities.

• Strong interpersonal and collaboration skills.

• Capacity to work independently and reliably in a remote setting.

• Commitment to confidentiality, ethical data practices, and responsible handling of sensitive participant information.

• Advanced proficiency in Microsoft Excel and/or Google Sheets, including pivot tables, lookup functions, advanced formulas, data validation, filtering, data cleaning, and reconciliation.

• Experience in importing, merging, organizing, reshaping, and analyzing datasets from various sources.

• Ability to establish repeatable, well-documented data preparation and reporting workflows.

• Proficient in developing charts, tables, dashboards, and other data visualizations.

• Experience using online survey platforms, learning management systems, registration databases, or similar systems.

• Ability to quickly learn new technology platforms and troubleshoot data inconsistencies.

• Bachelor'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.

🏝️ Benefits

• Fully remote work.

• Flexible scheduling.

• Potential for transition to full-time as organizational needs and funding permit.

• No health benefits are provided with this position.