Data Analyst Jobs in Boston, MA

Observed local pay is strong. BLS wage data for Boston data scientists shows a $132,040 median, $102,720 at the 25th percentile, and $166,120 at the 75th percentile, while Boston operations research analysts sit at a $170,510 median. Proxy and posting-based signals are in the same ballpark but should be read directionally: recent posted salary ranges center on about $122k to $180k, and Massachusetts new openings in this occupation group show a mean offered salary of about $127,487 with n=1,222.

Full September 2026 market report

Advertised pay

Across the 254 openings that disclose pay, the advertised range midpoint runs $116,120 at the 25th percentile, $156,825 at the median and $182,959 at the 75th. These are advertised ranges, not earned pay.

Active openings as of November 10, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

Boston is still a worthwhile market for Data, Analytics & AI if you bring real experience or a clear specialty, but it is not an easy market to break into. Massachusetts Data, Analytics & AI employment is essentially flat year over year even as active postings for the category are up 46.8% statewide, which suggests more opening volume than net headcount growth. In the metro, August 2026 Information employment was down -2.6385% year over year and Professional and Business Services was down -0.9667%, so hiring conditions are mixed across the sectors that often absorb analytics talent. Local unemployment remains low at 4.1%, and the market still showed more than 350 postings across more than 200 companies over the last 90 days.

Best positioned: Candidates with a few years of experience, strong Python and SQL, and a business or scientific domain angle in technology, healthcare, financial services, or biotech research have the best odds because postings skew toward mid and senior levels and local demand clusters in those industries.

Main caution: Do not mistake Boston's salary upside for easy access: only about 15% of sampled postings were entry level, only about 10% were remote, and several common landing sectors are hiring selectively rather than broadly.

From the September 2026 market report

Who is hiring here

Counted across all 289 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Fidelity International: 12 open roles
2. Adusa: 8 open roles
3. State Street Corp: 8 open roles
4. Liberty Mutual Insurance Company: 6 open roles
5. Alignerr Corp.: 5 open roles
6. Bain & Company, Inc.: 5 open roles
7. Boston Children's Hospital: 5 open roles
8. Flagship Pioneering, Inc.: 5 open roles
9. Mit Lincoln Laboratory: 5 open roles
10. Acceler8 Talent: 4 open roles

Where the openings are

• Boston: 148
• Cambridge: 32
• Waltham: 21
• Quincy: 16
• Lexington: 8
• Needham: 6
• Bedford: 6
• Andover: 5

Work arrangement

on-site 144 (50%), hybrid 117 (41%), remote 26 (9%)

Where the demand is

Real opportunity is concentrated by industry, not just by title. In the recent posting mix, technology accounts for about 20% of category demand, healthcare about 15%, software development about 15%, financial services about 10%, and biotechnology research about 10%. That means a Boston search works best when you pair core data skills with a hiring context such as clinical operations, enterprise analytics, fintech risk, or applied AI. The strongest local signal is not a single dominant employer but a dense long tail. The market showed more than 350 postings across more than 200 companies, and hiring is fragmented rather than controlled by one brand. Named employers associated with local hiring signals include Fidelity Investments, Mass General Brigham, Wayfair, Amazon, and Biogen, while newer AI-related expansion signals are showing up around Cambridge through Anthropic, Agero, and healthcare-AI firms such as GenHealth.ai. The practical takeaway is to search for business problems, not vanity titles. In this metro, 'data scientist' is only one lane; some of the better targets are analytics roles embedded in healthcare, finance, biotech, and applied AI teams where the company cares about decisions, workflows, and outcomes more than title purity.

• Healthcare and life sciences analytics (high): Healthcare and biotech together make up a meaningful slice of local demand, with healthcare at about 15% and biotechnology research at about 10% of sampled postings; Mass General Brigham and Biogen also appear in local employer signals.
• Applied AI inside tech and software firms (high): Technology represents about 20% of sampled demand and software development about 15%, with fresh Cambridge expansion signals from Anthropic and other AI-focused tenants in Kendall Square.
• Financial services and insurance analytics (moderate): Financial services account for about 10% of sampled postings, and Fidelity Investments appears in local employer signals, making this a solid lane for risk, decision, and enterprise analytics work.

Where to focus: Prioritize hybrid roles where Python, SQL, and business problem-solving meet a domain the employer already pays heavily for—healthcare/life sciences first, then applied AI and finance.

Roles worth searching next

• Revenue operations analyst: It uses SQL, dashboarding, forecasting, and stakeholder communication, but is usually hired through operations rather than pure data teams.
• Marketing analytics / marketing operations analyst: It rewards experimentation, attribution thinking, reporting, and BI skills, and it is a practical landing zone because market research work is often routed outside the core data category.
• Risk analyst or fraud analyst: Boston's finance presence makes this a realistic pivot for candidates with strong statistics, SQL, and decision-making discipline.
• Strategy and operations analyst: This path values structured problem-solving, KPI ownership, and executive communication, which overlap heavily with analytics training.
• Clinical research data manager: It is a strong option in Boston's life-sciences ecosystem for candidates who like regulated, evidence-heavy work but do not need a pure data scientist title.

What postings ask for

• Python (table_stakes | immediate): Python shows up in about 75% of sampled local postings and remains a core expectation nationally even as standards rise around packaging, environments, and production-quality work. Who: Everyone in this category, especially entry-level candidates who need to prove they can ship work instead of just analyze in notebooks.
• SQL (table_stakes | immediate): SQL appears in about 50% of sampled local postings and remains one of the clearest filters for business-facing analytics roles. Who: All candidates, but especially career switchers and analysts targeting healthcare, finance, and operations teams.
• Machine learning (differentiator | immediate): Machine learning appears in about 35% of sampled local postings, which is enough to matter but not enough to make it the only path. Who: Mid-career candidates and analysts trying to move up from reporting work into modeling, experimentation, or prediction-heavy roles.
• Tableau / Power BI / data visualization (table_stakes | immediate): Local demand signals specifically call out Tableau and Power BI, and posting data also shows data visualization in the skill mix. Who: Entry-level candidates, business analysts, and career switchers who need a faster bridge into employer-facing work.
• AWS and Databricks (premium | near-term): AWS appears in about 15% of sampled local postings and Databricks in about 10%, while national skill expectations have shifted toward cloud platforms and production-oriented tooling. Who: Mid-career candidates and anyone targeting applied ML, analytics engineering, or enterprise AI teams.
• PyTorch (premium | near-term): PyTorch appears in about 15% of sampled local postings, which makes it a real separator for applied AI and model-building roles rather than a universal requirement. Who: Candidates targeting ML engineer, AI engineer, or research-adjacent roles within this category.

Questions about this market

What do Data, Analytics & AI roles pay in Boston-Cambridge-Newton, MA-NH?

Observed local pay is strong. BLS wage data for Boston data scientists shows a $132,040 median, $102,720 at the 25th percentile, and $166,120 at the 75th percentile, while Boston operations research analysts sit at a $170,510 median. Proxy and posting-based signals are in the same ballpark but should be read directionally: recent posted salary ranges center on about $122k to $180k, and Massachusetts new openings in this occupation group show a mean offered salary of about $127,487 with n=1,222. This is a high-pay market by any normal standard. Boston's all-occupations average hourly wage was $43.09 in May 2025, which was $9.55 above the national average, and the U.S. median for data scientists was $120,230, so local data pay does carry a real premium.

Where is demand for Data, Analytics & AI roles in Boston-Cambridge-Newton, MA-NH concentrated?

Real opportunity is concentrated by industry, not just by title. In the recent posting mix, technology accounts for about 20% of category demand, healthcare about 15%, software development about 15%, financial services about 10%, and biotechnology research about 10%. That means a Boston search works best when you pair core data skills with a hiring context such as clinical operations, enterprise analytics, fintech risk, or applied AI. The strongest local signal is not a single dominant employer but a dense long tail. The market showed more than 350 postings across more than 200 companies, and hiring is fragmented rather than controlled by one brand. Named employers associated with local hiring signals include Fidelity Investments, Mass General Brigham, Wayfair, Amazon, and Biogen, while newer AI-related expansion signals are showing up around Cambridge through Anthropic, Agero, and healthcare-AI firms such as GenHealth.ai. The practical takeaway is to search for business problems, not vanity titles. In this metro, 'data scientist' is only one lane; some of the better targets are analytics roles embedded in healthcare, finance, biotech, and applied AI teams where the company cares about decisions, workflows, and outcomes more than title purity.

Which employers are hiring the most Data, Analytics & AI talent in Boston-Cambridge-Newton, MA-NH?

Recent postings show the most activity from Dataroles (15 postings), Boston While Black (15 postings), USAHireZone (5 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in Boston-Cambridge-Newton, MA-NH be done remotely?

Of recent postings, 10% are remote and 50% hybrid, with 45% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

Browse Massachusetts openings by job title

• Associate Director: 111 open roles statewide

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