learn and thrive, Brown Brothers Harriman is the right place for you.Brown Brothers Harriman is currently recruiting a Network Markets Analyst II to join our Network Management team. In this role you will be responsible…
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 573 · sorted by freshness
Job-ID28794626Reference26-18698Remote50% Remote DPH is executing large-scale data modernization across the agency as part of DMI. This includes creating a consolidated Enterprise Data Platform on modern cloud tools (incl…
Who We Are Looking ForThe Enterprise Data and AI Office is seeking an execution-oriented Enterprise Data Quality Solutions lead to help advance the firm’s enterprise Data Quality Management framework, standards, control…
function, system owners, and business stakeholders, applying a risk-based approach focused on patient safety, product quality, and data integrity. Lead the development, harmonization, implementation, and adherence to CSV…
Chronograph Data Analyst Boston, Massachusetts Client needs "good solid Chronograph SME's". Among other things, they'd be supporting : o Building workflows o Developing Ad templates o Pulling data from multiple systems (…
Job Description: Research Data Analyst 1 We are seeking a Research Data Analyst computational biologist to lead transcriptomics analysis on research projects investigating breast cancer metastasis and infectious disease.…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
WHO IS GUIDEHEALTH? Guidehealth is a data- powered, performance-driven healthcare company dedicated to operational excellence.... ...healthcare on a better path!! Job Description As Senior Data Analyst, you will play a c…
We are looking for a skilled Data Engineer to join a 100% remote contract to hire position. This role focuses on developing and maintaining data warehouse integration processes, working closely with technical teams and b…
Development Operations, the Senior Business Development Operations Analyst builds the systems that keep Suffolk’s business development... ...organization already runs on, and putting better internal and external data in…
We are seeking an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, Snowpark, and ELT pipeline development. The ideal candidate will have a strong background in data engineering, data w…
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…
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.