Data Analyst Intern

Ascensus•Newton, MA

1d•$20 - $20•Hybrid

About The Position

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Are you a student looking to make extra money this summer while gaining valuable work experience? Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Our internship program offers practical corporate work experience that could lead to full-time work after graduation. We are seeking students going into their senior year, graduating in the spring of 2027. The shift is from 9 am to 5 pm, 40 hours per week, starting in June and ending in August. This is a hybrid position in Newton, MA that pays $20 per hour. The Data Analyst Intern will support the Retirement Operations team by helping transform data into meaningful insights that inform business decisions. This internship is designed to provide hands‑on experience working with real‑world datasets, analytics tools, and business partners while building foundational skills in data analysis, reporting, and data storytelling. The intern will work closely with experienced analysts and stakeholders and receive mentorship throughout the program.

Requirements

Currently pursuing a Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field (or recent graduate)
Strong interest in data analysis, analytics, or business intelligence
Exposure to SQL or relational databases through coursework, projects, or internships
Familiarity with Excel (basic to intermediate formulas, pivot tables, data analysis concepts)
Ability to analyze data, think critically, and solve problems
Strong attention to detail and willingness to learn
Ability to communicate findings clearly to both technical and non‑technical audiences

Nice To Haves

Exposure to data visualization tools such as Power BI, Tableau, or Alteryx
Coursework or project experience using Python or R for data analysis
Familiarity with basic data modeling or data warehousing concepts
Interest in financial services, retirement plans, or a highly metrics‑driven industry
Experience working on academic, personal, or team data projects

Responsibilities

Assist in collecting, cleaning, and validating data from internal and external sources to ensure data quality and accuracy
Support analysis of datasets to identify trends, patterns, and opportunities for operational or business improvement
Help build and maintain dashboards, reports, and visualizations used by leadership and cross‑functional teams
Partner with analysts and business stakeholders to understand data needs and help define metrics and KPIs
Contribute to the development and documentation of data models, data dictionaries, and standard reporting definitions
Perform ad hoc analyses to support business questions and ongoing initiatives
Assist with tracking performance metrics and supporting regular reporting cycles
Collaborate with data engineering, IT, and analytics teams to learn how data pipelines and infrastructure are managed
Follow established data governance, privacy, and security standards