IT Data Analyst I

The Massachusetts Department of Transportation (MassDOT) develops and coordinates transportation policies and projects for the Commonwealth of Massachusetts. The IT Data Analyst I supports data-driven decision-making by creating reports and dashboards, analyzing trends, maintaining data quality, and communicating findings to stakeholders. The role also contributes to data-sharing initiatives, public-facing analytics, and research into data-management best practices.

What you'll do:

• Design and develop metrics, analyses, reports, and dashboards to support decision-making and operations across state government
• Employ a variety of statistical and other software applications, graphics tools, and business intelligence (BI) applications to analyze results, evaluate performance, and project future trends and needs
• Support the design, development, and implementation of data-sharing efforts across Commonwealth offices and agencies
• Work with team members and outside department to access data for ongoing projects and other business intelligence needs
• Support the development of public-facing data analytics and reporting
• Research and report on data-management best practices, including in the areas of governance, storage, privacy, and reporting

What they're looking for:

• Applicants must have at least (A) one (1) year of full-time or equivalent part-time, professional or practical experience in information technology data analytics or (B) any equivalent combination of the required experience and the substitutions below
• I. An Associate's degree or higher in a related field may be substituted for the required experience
• Practical experience in data analysis, reporting, and visualization, using languages and software such as Python, R, SQL, VBA, and Tableau or other BI tools
• Demonstrated interest in public policy or administration, experience in a government setting
• Analytical and critical thinking skills
• Experience clearly describing, summarizing, and documenting how work was performed
• Experience with basic applied statistical techniques
• Ability to produce consistently high-quality output under strict deadlines
• Ability to work independently and in a team environment with varying levels, team members, peers, management, and business stakeholders
• Ability to prioritize, execute, and manage work in a matrixed, high-pressure environment
• Strong intellectual curiosity demonstrated drive to master new skills, systems, and subject matter