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Senior Analytics Engineer Jobs in Boston, MA (NOW HIRING)

Whoop

Analytics Engineer II

Boston, MA · On-site

$125K - $175K/yr

You will work closely with Analytics and Data Engineering to expand and improve WHOOP's data infrastructure as we scale - executing on architectural initiatives set by senior team members while ...

Xometry

Analytics Engineer II

Waltham, MA · On-site

As a senior member of the team, you won't just be writing SQL; you'll be defining our data architecture, working with data analysts and data engineers. How You'll Contribute: * Data Modeling: Design ...

Topline Pro

Staff Analytics Engineer

Boston, MA · On-site

$175K - $190K/yr

This is a senior, hands-on role at the intersection of engineering, analytics, and business strategy. You'll shape the way data flows through the company and ensure we have the right foundation to ...

Whoop

Senior Manager, Analytics Engineering

Boston, MA · On-site

$210K - $245K/yr

Interface with senior leadership to design, plan, and communicate data strategy and roadmap. QUALIFICATIONS: * 7+ years of experience in analytics engineering, data engineering, or a related field ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

... analytics, and business leaders. The team is looking for someone who can architect large-scale data systems, establish engineering best practices, mentor senior engineers, and solve complex data ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Boston, MA

Senior Analytics Engineer information

See Boston, MA salary details

$64.6K

$137.5K

$199.4K

How much do senior analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior analytics engineer in Boston, MA is $137,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Boston, MA? The most popular types of Analytics Engineer jobs in Boston, MA are:
What are popular job titles related to Senior Analytics Engineer jobs in Boston, MA? For Senior Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Senior Analytics Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Analytics Engineer jobs? Cities near Boston, MA with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 2% Temporary, and 8% Contract. Highlights an 79% In-person, 6% Hybrid, and 15% Remote job distribution, with an average salary of $137,492 per year, or $66.1 per hour.

Analytics Engineer II

Whoop

Boston, MA • On-site

$125K - $175K/yr

Full-time

Re-posted 2 days ago

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are hiring an Analytics Engineer II to join our Analytics Engineering team. This role will focus on building and maintaining scalable, well-tested data models in dbt that power analytics and reporting across the company. You will work closely with Analytics and Data Engineering to expand and improve WHOOP's data infrastructure as we scale - executing on architectural initiatives set by senior team members while developing deep expertise in our data platform.
RESPONSIBILITIES:
  • Develop, optimize, and maintain dbt models across WHOOP's Snowflake data warehouse, following established patterns and coding standards.
  • Execute on database restructuring initiatives - migrating domain-specific schemas into purpose-built databases to improve data governance and role-based access control.
  • Implement and maintain data quality tests and documentation within dbt, ensuring models are reliable, well-documented, and discoverable.
  • Partner with Analytics teams to understand data requirements and translate them into performant, accurate transformation logic.
  • Collaborate with Data Engineering on data ingestion improvements, source freshness monitoring, and warehouse optimization.
  • Support the team's data governance goals, including maintaining consistent naming conventions, enforcing data contracts, and managing database roles and grants.
  • Apply software engineering best practices to analytics code, including version control (Git), code review, testing, and continuous integration.
  • Build domain expertise in assigned business areas, becoming the technical point of contact for data models and workflows in those domains.

QUALIFICATIONS:
  • 2-4 years of experience in analytics engineering, data engineering, or business intelligence with hands-on dbt experience.
  • Strong SQL skills, particularly within Snowflake or comparable cloud data warehouses.
  • Experience with dbt in a production environment - building models, writing tests, maintaining documentation, and working across multiple environments.
  • Working knowledge of Git and version control workflows (branching, pull requests, code review).
  • Familiarity with dimensional data modeling concepts and schema design best practices.
  • Detail-oriented with the ability to follow established patterns and execute on well-defined technical plans.

NICE TO HAVE :
  • Experience with Snowflake-specific features
  • Familiarity with BI tools such as Sigma.
  • Knowledge of Python for data transformation or automation tasks.
  • Experience with CI/CD pipelines for dbt (e.g., CircleCI, GitHub Actions, dbt Cloud).
  • Prior exposure to subscription/SaaS business models or consumer health/fitness data.

Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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