Job Title: Data Analyst
Location: Remote (non-US-based)
Job Summary:
MGT is seeking a highly innovative team member to apply their passion for data analysis to scale our impact. The Data Analyst will play a key role in capturing data, performing analysis, and developing visualizations that enable MGT to intentionally use data to inform our social impact strategy and reach our goals.
The ideal candidate will support data collection, synthesis, organization, analysis, visualization, and propose solutions based on data across different activities in OGAT. This is an entrepreneurial environment that fosters learning and encourages process improvement. The Data Analyst will have the opportunity to work in support of our consulting practices with limitless opportunities to make an impact on the future of our organization.
MGT is a leading social impact and performance solutions firm that serves state, local, education, technology, and commercial clients across the U.S. and abroad. By elevating education systems, managing and securing critical networks, solving complex human capital and fiscal problems, and advancing equity as a performance imperative, we can impact communities for good, through client partnership.
Key Responsibilities:
- Gather client metrics across the SIS business to be used in evaluating our impact and business strategy.
- Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets.
- Develop strategic data visualizations.
- Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions.
- Develop scalable data systems using advanced tools such as coding programs and AI.
- Support software development and maintenance.
- Support data management and analysis in CRM platforms.
- Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree from an accredited college or university
- Two (2) or more years of experience in research, business intelligence, statistics, data analysis, or similar.
- Experience creating basic reports or dashboards using Power BI, Tableau, or other business intelligence tools (e.g., Looker, Qlik, or similar).
- Experience in coding programs such as Python, SQL, R, or similar.
- Experience in building or analyzing data models using AI/ML tools to identify trends, generate insights, and support dataâdriven decisionâmaking.
- Experience in software