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Analytic Engineer Jobs in Boston, MA (NOW HIRING)

Role Overview Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you ...

Data Analytics Engineer

Cambridge, MA · On-site

$126K - $151K/yr

Omega Solutions, Inc. is a company focused on providing data solutions, and they are seeking a Data Analytics Engineer. The role involves leading junior developers and supporting data engineering ...

Sr. AI Analytics Engineer

Marlborough, MA · On-site

$108K - $148K/yr

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * Arlington, TN, * Marlborough, MA. Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work ...

Failure Analysis Engineer

Maynard, MA · On-site

$79K - $100K/yr

Working closely with failure analysis engineers and cross-functional partners, the team investigates customer-reported issues, identifies root causes, and continuously improves failure analysis ...

Working closely with failure analysis engineers and cross-functional partners, the team investigates customer-reported issues, identifies root causes, and continuously improves failure analysis ...

A Systems Analysis Engineer develops and applies advanced modeling, simulation, and mission ... analytic workflows, or simulation tools. * Experience with data analysis, visualization, and ...

... intake, analysis planning, hands-on characterization, root cause determination, and reporting back to the Test, Platform, and Engineering teams. FA at HyperLight is investigative work. Each ...

Showing results 21-40

Analytic Engineer information

See Boston, MA salary details

$42.5K

$110.8K

$149.8K

How much do analytic engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for analytic engineer in Boston, MA is $110,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,900.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They often require skills in SQL, data modeling, and tools like Python or Spark, and employment opportunities are expected to grow as organizations prioritize analytics and data infrastructure.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.

What cities near Boston, MA are hiring for Analytic Engineer jobs?

Cities near Boston, MA with the most Analytic Engineer job openings:

Infographic showing various Analytic Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $110,843 per year, or $53.3 per hour.

Senior Analytics Engineer

Connie Health

Boston, MA • On-site

Full-time

Medical, PTO

Re-posted 3 days ago


Job description

About Connie Health
Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance. Our core values are Results-Oriented, Proactive, and Relationships First.
Role Overview
Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower the entire company to answer their own questions, applying software engineering practices like version control, continuous integration, testing, and code review to our analytics codebase. Your work spans board-level book-of-business reporting, day-to-day stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You will work closely with our data team and system owners across Engineering, Finance, and Operations to make sure data is trustworthy from source through dashboard.
This is a hybrid role, based out of our new Boston office near South Station.
What You'll Do
  • Own the policy dataset and its derived reporting (policy count, retention, effectuation, commission status, cohort analyses). Build the single source of truth that answers the full set of policy-related business questions, with clear naming conventions and documentation that lets stakeholders use it quickly.
  • Partner with Engineering, Finance, and Operations to improve data quality at the source rather than cleaning it downstream. Catch issues before stakeholders find them in a broken chart.
  • Build and maintain dbt models using a layered architecture, applying software engineering best practices including version control, continuous integration, automated testing, code review, and documentation. Treat the analytics codebase with the same rigor as production application code.
  • Configure self-serve Looker models and curate the AI-ready dataset definitions stakeholders consume through Claude, so business users can answer their own questions with reliable, consistent results instead of waiting on a data team ticket.
  • Engage early in new system implementations to ensure data is captured cleanly from day one and that reporting is ready when the system goes live, rather than retrofitted afterward.
  • Manage multiple stakeholders and workstreams simultaneously, operating with the independence and judgment expected of a senior IC.

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
  • 5+ years of professional experience in analytics engineering, data engineering, or a closely related discipline.
  • Deep, hands-on experience with dbt and strong data modeling practices, including applying software engineering principles to analytics code.
  • Strong SQL skills and experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar).
  • A track record of normalizing and fixing messy datasets, both within the data layer and by working directly with the owners of the source data (Finance, Engineering, Operations, Marketing, etc.).
  • A product mindset with the ability to tie technical work to user outcomes and business impact.
  • Experience enabling self-service analytics for stakeholders through a BI tool, ideally Looker.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience modeling customer retention and lifecycle metrics across different use cases while ensuring all views tell a consistent story, ideally for a subscription business.
  • Experience with LookML and Looker administration.
  • Familiarity with Fivetran, Airflow, or similar data ingestion tooling.
  • Experience preparing datasets for consumption by AI tools (semantic layers, dataset documentation, definitional consistency).
  • Prior experience in the healthcare or insurance industry, particularly with Medicare.

Why Join Connie Health?
  • Great Culture.
  • Comprehensive health insurance plans.
  • Competitive salary and equity packages.
  • Unlimited vacation policy and generous holiday observances.
  • Monthly work from home stipend.
  • The opportunity to be part of a values-driven and hardworking group of people.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.