1

Analytics Engineer Jobs in Boston, MA (NOW HIRING)

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 Senior Analytics Engineer in our continued ...

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets ...

Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data ...

Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data ...

Analytics Engineer

Waltham, MA · On-site +1

$84K - $101K/yr

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets ...

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 ...

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 ...

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 ...

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 ...

We are growing our Enterprise Data & Engineering team! We're looking for a Senior Analytics Engineer to help shape how data is transformed, modeled, and structured to power analytics and business ...

Sr. Analytics Engineer

Boston, MA · On-site

$106K - $146K/yr

The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business ...

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 ...

The Senior Analytics Engineer will own the data and analytics strategy for secure payment card solutions and enterprise SaaS products, partnering with cross-functional teams to build scalable data ...

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

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, organized, and scaled at Topline Pro. You'll be responsible for building the data assets that sit at the ...

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 ...

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

next page

Showing results 1-20

Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

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 Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

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 Analytics Engineer jobs in Boston, MA?

For Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Analytics Engineer

Purple Carrot

Dedham, MA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

About Purple Carrot

Founded in 2014, Purple Carrot delivers clean, long-lasting energy through the power of plants. As the only company in America devoted entirely to plant-based eating, we have spent over a decade perfecting the balance of protein and fiber that only plants can provide. Offering chef-crafted, dietitian-designed meals delivered right to your door, we make plant-forward eating effortless, flexible, and endlessly exciting. Our menu spans quick weeknight dishes, occasion-worthy dinners, breakfast, lunch, snacks, and ready-to-eat meals. 

Purple Carrot prioritizes taste and flexibility, offering no membership fees, the freedom to skip or unskip weekly deliveries whenever you want, and a no-pressure, cancel-anytime policy. We pride ourselves on doing plants better than anyone else - and we have the receipts to prove it.

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 Senior Analytics Engineer in our continued effort to inspire people to eat more plants.

This position will play an important role in building and maintaining resilient, scalable data pipelines and company-wide data infrastructure that empowers Purple Carrot employees to better understand, manage, curate, and analyze the data most relevant to their work.

As the Analytics Engineer, you will be focused on maintaining and improving our data pipelines, supporting data systems and analytics, and helping develop rigorous data products within our modern data stack. This role will synthesize feedback from teams across the business and help translate data needs into reliable, well-documented solutions that allow us to move faster and gain better insights into how our business performs.

We greatly thank all applicants; however, only those under serious consideration will be contacted.

Location 

  • This hybrid role is based in Dedham, MA
  • Our hybrid approach includes 3 days in-office each week, giving teams the best of both flexibility and collaboration. Many team members choose to come in more often - it's a great way to stay inspired and engaged with the team.

On the Plate

  • Lead and contribute to the implementation and maintenance of end-to-end data pipelines and infrastructure, from ingestion through transformation and analytics.
  • Develop, test, and optimize data models and data warehouse architecture with a focus on performance, scalability, and reliability.
  • Ensure data quality through validation, monitoring, testing, and strong documentation practices.
  • Implement and uphold data governance standards, including data dictionaries, lineage, access controls, and clear ownership of business logic.
  • Build and maintain BI dashboards and reporting tools that help teams understand performance and make data-informed decisions.
  • Support occasional ad hoc and exploratory data analysis to help answer business questions and identify trends.
  • Create and maintain comprehensive documentation for data models, pipelines, reporting logic, and key data definitions.
  • Collaborate closely with the Senior Analytics Engineer and cross-functional partners to execute on defined workstreams within an established data framework.
  • Assist with ad-hoc projects and tasks as necessary.

Main Ingredients for the Role 

  • 2-3 years of experience in the data space as a senior data analyst, data analyst, analytics engineer, data engineer, or equivalent role.
  • Bachelor's degree in data analytics, computer science, information systems, business analytics, mathematics, statistics, or a related field, or equivalent experience.
  • Able to commute to the Dedham, MA office 3 days per week.
  • Proficiency in SQL and dbt for data transformation, automation, and modeling.
  • Experience building and maintaining data pipelines using modern data stack technologies such as Git, dbt, Stitch, cloud data warehouses, or similar tools.
  • Strong background in data quality assurance, governance frameworks, and best practices for documentation.
  • Experience with BI and reporting tools such as Looker, Omni, or similar platforms.
  • Ability to work independently on assigned workstreams while collaborating closely with a senior team member.
  • Excellent communication skills and the ability to work effectively in a fast-paced environment.

Extra Special Sauce 

  • Experience working in or supporting a B2C subscription business model.
  • Comfortable working within an established data framework while driving execution independently on defined workstreams.
  • Strong curiosity and ability to translate business questions into clear, scalable data solutions.
  • Excitement for working in a dynamic environment where data helps teams make faster, smarter decisions.
  • You enjoy documentation, process improvement, and building systems that make work easier for others.

Compensation

The anticipated base salary range for this role is $90,000 - $100,00. Compensation is based on experience and qualifications, and the posted range is not a guarantee of any specific offer.

Garnish

We love our staff, and show it with benefits (including but not limited to medical, dental, vision, FSA, and life insurance), matching retirement plan, generous and flexible paid time off, Purple Carrot box delivery credits, professional development, and the opportunity to work in collaboration with teammates who are passionate about food!

Final Touches

We are committed to a safe and inclusive work environment, free of discrimination based on race, color, religion, sex, gender identity or expression, sexual orientation, genetics, national origin, ancestry, age, medical condition, mental or physical disability, handicap, veteran status, or marital status.