Data Analyst

The Data Analyst supports the Data and Evaluation Lead on a national federal technical assistance program focused on integrating digital health tools, wearable technologies, and AI-enabled workflows into chronic disease prevention and management (hypertension, diabetes, and obesity). This role supports the collection, analysis, and reporting of program and outcome data; the implementation of evaluation activities; and the development of actionable insights that drive program improvement and support informed decision-making throughout the contract lifecycle., * Support administration and analysis of the Integrated Technology Readiness and Needs Assessment, including response tracking, data validation, scoring, and readiness profiling.

• Support the administration of evaluation instruments and data collection activities, including surveys, assessments, reporting templates, and health center data submissions.
• Collect, clean, manage, and maintain data from assessments, surveys, LMS participation records, webinar attendance logs, Communities of Practice activities, academic detailing sessions, and cohort engagement activities.
• Manage data submission and follow-up processes with participating health centers, including monitoring reporting compliance, resolving data discrepancies, and documenting data quality issues.
• Conduct quantitative analyses of health center participation, engagement, retention, cohort progression, learning outcomes, and implementation activities.
• Support analysis of aggregated clinical outcome measures, including blood pressure control, HbA1c, BMI, patient engagement, and wearable device utilization metrics.
• Perform data quality reviews, outlier analysis, validation checks, and follow-up tracking to ensure completeness, consistency, and integrity of submitted data.
• Develop dashboards, data visualizations, tables, charts, and reporting materials to support quarterly, annual, and ad hoc evaluation and reporting requirements.
• Monitor and analyze participant satisfaction, learning outcomes, and implementation progress to identify trends, emerging needs, and opportunities for continuous improvement.
• Assist with qualitative data analysis from interviews, focus groups, open-ended survey responses, and implementation feedback using recognized qualitative analysis methods.
• Collaborate with technical assistance, recruitment, instructional design, communications, and project management staff to monitor key performance indicators and support program improvement efforts.
• Ensure compliance with HIPAA, data security, Section 508, plain language, and federal reporting requirements.

• Bachelor’s degree in public health, epidemiology, biostatistics, statistics, health informatics, or a related field.
• Master’s degree in public health, epidemiology, or a related field preferred., * Minimum two (2) years of experience analyzing data for public health, healthcare, or federal health programs.
• Proficiency in statistical software such as SAS, Stata, R, SPSS, and/or Python.
• Working knowledge of SQL and advanced Microsoft Excel skills.
• Experience with data visualization tools such as Tableau or Power BI.
• Experience designing and analyzing surveys using tools such as Qualtrics, REDCap, or SurveyMonkey.
• Experience with qualitative analysis of interviews, focus groups, or open-ended responses (e.g., NVivo, Dedoose).
• Knowledge of data cleaning, validation, and quality assurance techniques.
• Understanding of HIPAA and secure handling of protected health information.
• Strong technical writing skills and the ability to explain findings to non-technical audiences.
• Excellent attention to detail and ability to meet deadlines in a fully remote team environment.
• Strong written and verbal communication skills., * Familiarity with HRSA’s Uniform Data System (UDS) and federal health program reporting requirements.
• Experience working with clinical outcome data (blood pressure, HbA1c, BMI) in primary care or safety net settings.
• Experience supporting community health centers (FQHCs) or federally funded technical assistance programs.
• Familiarity with EHR data, patient-generated health data, or wearable device data.
• Experience creating Section 508-compliant reports and data visualizations.

At APV, we’re more than a technology company - we’re a mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Our expertise spans AI/ML, data architecture, low-code/no-code development, Agile DevSecOps, and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress. Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. If you’re passionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007, we’ve partnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations. With 70+ prime contracts and a proven record of client success, APV continues to grow - and we’re looking for exceptional talent to grow with us.