Technical Advisor – Digital Health Data Analyst

MCD Global Health•Hallowell, ME

12h•Remote

About The Position

This position supports MCD’s digital health and technology innovation initiatives, contributing to evaluation, learning, and data use across Maine’s RHTP efforts. The Technical Advisor – Digital Health Data Analyst plays a key role in supporting data analysis, reporting, and visualization to inform program performance and continuous improvement. MCD offers competitive salaries, a comprehensive benefits package, and a remote-first work environment. This position is contingent upon state funding currently confirmed through 2030, and salary offers may vary based on qualifications, experience, and geographic location. The Technical Advisor – Digital Health Data Analyst supports measurement and learning for MCD Global Health’s digital health initiatives. This role contributes to data integration, routine monitoring, data analysis, reporting, and learning across RHTP initiatives. The Technical Advisor supports the Senior Program Manager in collecting, cleaning, merging, and analyzing quantitative and qualitative program data from multiple sources. The role is responsible for preparing clear reports, dashboards, and visualizations that communicate progress toward key outcomes and generate actionable insights. This position also supports the interpretation of findings and identification of trends to inform program adjustments, continuous improvement, and future planning across digital health initiatives. Primary functions include supporting data merging, collection, cleaning, and quality checks; designing indicator tracking tools, dashboards, and monitoring reports; contributing to evaluations, operational research, and learning activities; and supporting donor and internal reporting with accurate, well-documented data. This is a mid-level position requiring experience in data analysis, program evaluation, and working with quantitative and qualitative data. Strong skills in data visualization, reporting, and translating data into actionable insights are essential.

Requirements

Master’s degree in public health, Statistics, Data Science, Health Informatics, or a related field.
3-5 years of experience in data analysis, program evaluation, or applied research.
Proven track record working with quantitative and qualitative data from diverse sources.
Experience developing dashboards, reports, and visualizations for monitoring, evaluating, and learning from program data.
Skilled in collecting, cleaning, and organizing large datasets for accuracy and usability.
Proficient in statistical methods, qualitative coding, and mixed-methods evaluation.
Ability to translate complex findings into clear, compelling dashboards and reports.
Strong skills in presenting insights to technical and non-technical audiences.
Proficiency with tools such as Excel, R, Python, Stata, SAS, NVivo, Dedoose, Tableau, or Power BI.
Ability to identify trends and provide actionable recommendations for program adjustments.
Candidates must be able to work in a team-oriented environment and handle sensitive information in compliance with organizational policies.

Nice To Haves

Training or certification in program evaluation, data analytics, or monitoring & evaluation (M&E) preferred.
Background in digital health initiatives or healthcare program evaluation is a strong asset.

Responsibilities

Support management of program data across multiple sources
Develop clear, actionable reports and dashboards tracking key outcomes
Support data collection, cleaning, merging, and quality assurance
Manage program evaluation data to inform planning and strategy
Track training and technical assistance outcomes and recommend improvements
Support evaluation, operational research, and learning activities
Provide technical assistance to healthcare organizations, public health agencies, and partners
Stay current on digital health technologies, policies, and trends
Participate in workgroups and contribute to team objectives
Support a collaborative and high-performing team environment
Contribute to proposal development and growth of digital health initiatives