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Manager Data Analytics Engineer Jobs in Lincoln, RI

Whoop

Analytics Engineer II

Boston, MA · On-site

$125K - $175K/yr

We are hiring an Analytics Engineer II to join our Analytics Engineering team. This role will focus ... data contracts, and managing database roles and grants. * Apply software engineering best practices ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Topline Pro

Staff Analytics Engineer

Boston, MA · On-site

$175K - $190K/yr

Role Summary We're hiring a Staff Analytics Engineer to take ownership of how data is modeled ... You'll shape the way data flows through the company and ensure we have the right foundation to ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Lincoln, RI

Manager Data Analytics Engineer information

See Lincoln, RI salary details

$41.6K

$121.1K

$165.8K

How much do manager data analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data analytics engineer in Lincoln, RI is $121,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What job categories do people searching Manager Data Analytics Engineer jobs in Lincoln, RI look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Lincoln, RI are:

What cities near Lincoln, RI are hiring for Manager Data Analytics Engineer jobs?

Cities near Lincoln, RI with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Lincoln, RI as of July 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $121,132 per year, or $58.2 per hour.

Analytics Engineer II

Whoop

Boston, MA • On-site

$125K - $175K/yr

Full-time

Re-posted 7 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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