Engineering & IT · Boston, MA

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.

573
Open roles today
$34–$83/hr
Typical pay range
$118k
Median, full-time
10
Fresh in this list

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01

Open data analyst roles

12 shown of 573 · sorted by freshness

Network Markets Analyst II

Brown Brothers Harriman · Boston, MA
$80k - $120k

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…

Posted yesterday
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Senior Data Quality Assurance Analyst

Mindlance · Quincy, MA

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…

Posted 2d ago
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CSV Engineer (Analyst II)

Katalyst Healthcares & Life Sciences · Cambridge, MA

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…

Posted 2d ago
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Chronograph Data Analyst

Stellent IT LLC · Boston, MA

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 (…

Posted 2d ago
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Senior Data Analyst

Guidehealth · Boston, MA · Full-time
$90k - $100k

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…

Posted 3d ago
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Data Engineer

Robert Half · Boston, MA

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…

Posted 4d ago
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Snowflake Data Engineer

Neshent Technologies · Boston, MA · Temporary

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…

Posted 2w ago
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02

What data analysts earn in Boston

Hourly first — that's how the offer arrives

ExperienceHourlyAnnual, 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.

03

What employers ask for

The skills these listings keep naming

SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04

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.

05

Resume tips that move the needle

For data analysts specifically — generic advice costs you here

01

Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.

02

List SQL first and honestly grade your level; it is the single most tested skill for this role.

03

Name the BI tools you have shipped dashboards in, and how many people relied on them.

04

Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.

05

A small portfolio of public analyses with clear write-ups can offset limited job experience.

06

Where this role goes

Typical progression

01 Junior Data Analyst
02 Data Analyst
03 Senior Data Analyst
04 Analytics Manager
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