Accelerate Change is seeking a freelance Data Analyst to support its voter registration and GOTV program for 2026. The role focuses on measuring impact, translating data into insights, and building dashboards for interna…
Data Analyst jobs in Boston, MA
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
Open data analyst roles
12 shown of 886 · sorted by freshness
This is your chance to start a long‑lasting profession with unlimited opportunity. Discover the liberty you've been looking for by taking a minute to finish our online application. Benefits: Excellent weekly pay Safe wor…
Data Analyst (m/f/x) Join a forward-thinking team where your analytical insights shape the future of digital innovation and drive real-world business impact. We create data-driven excellence in the heart of Boston. Our M…
Kforce has a client in Boston, MA that is seeking a Data Conversion Analyst. Summary: Our DCC's work with the client to develop a Conversion Strategy which details how the data will be converted. We then coordinate the d…
Responsibilities: We develop conversion strategies that define how client data will be transferred. We coordinate the delivery of data from... ...AI LESS More: We are hiring for a Data Conversion Analyst in Boston, MA. I…
Management System (EVMS) or similar tools Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Ability to obtain and maintain a U.S. government issued Secret sec…
efficient services to the schools to help them achieve their goals. Job Description Job Summary: Labor Relations Data and Reporting Analyst at Harvard leveraging strong analytical, communication, and people skills. This…
open until the job is filled, or as otherwise determined by GMO. Position Overview We are seeking an experienced Data Platform Analyst to join GMO’s Data Engineering and Operations team within the Technology group. This…
degeneration involving high-throughput, next generation sequencing (NGS) datasets (e.g. DNA-genome, transcriptomic, epigenomic, and proteomics data) . # Direct the development and maintenance of genome-wide association a…
industry , committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Health Data Analyst on the Veeva Compass Product Team, you will play a key role in supporting the core d…
apply. Important note: This is not a business intelligence, data analytics, dashboarding, SQL, Tableau, Power BI, or internal... ...to healthcare to technology and consumer. Market Intelligence Analyst – Data Centers & P…
Research Data Analyst The Research Data Analyst will conduct data analysis and assist other research team members (students, staff, and investigators) with their analyses and manuscripts. Duties will involve data managem…
What data analysts earn in Boston
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $34–$49 | $70k–$102k |
| Mid level | $49–$64 | $102k–$134k |
| Senior | $62–$83 | $128k–$173k |
Adjusted for the Boston market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
Applying for data analyst jobs in Boston?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.