Summer Intern - Data Analytics

Job Description

Agency Overview

The Department of Revenue's core mission is to collect the revenues required to support the business of the Commonwealth, to make a difference in the lives of children by enforcing the financial responsibilities of parenthood, and to assist Massachusetts cities and towns in sound and efficient fiscal management. Our vision is to conduct our operations in a manner that inspires public confidence in government by administering and enforcing tax, child support and municipal finance laws in ways that are innovative, customer-focused and transparent.



Bureau/Division Overview

The Tax Administration Division is responsible for fostering voluntary compliance and narrowing the tax gap by identifying, educating, and auditing noncompliant taxpayers. The Tax Administration Division audits the tax returns of businesses and individuals filed for all tax types, including income, corporate, sales/use, meals, rooms occupancy and special fuels.

The AIB Data Analytics Group is responsible for audit selection and analysis utilizing DOR's data warehouse.

Position Summary

The Massachusetts Department of Revenue is seeking intern to work with the AIB Data Analytics Unit. We are looking for someone to assist with developing new data-driven analytics initiatives that seek to improve operational performance in any of the core functions of the Tax Division. This role is not just about data; it is also about understanding the complex interplay between technology and business operations. We need someone who not only has strong analytical and technical skills but also, equally as important, can spot untapped potential in DOR's rich data assets and help us realize this potential better.

• Communicating with business stakeholders to understand objectives or problems that would benefit from data analysis
• Conduct advanced data mining, statistical analysis, and research activities
• Researching Massachusetts tax procedures, processing systems; learning the meaning, lineage, and limitations of relevant data
• Collaborating with senior analysts to formulate a plan for analysis
• Using SQL, PostgreSQL, Python, or other programming languages to clean and prepare data for analysis.

• Strong analytical skills.
• Ability to communicate effectively orally and in writing.