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Analytics Engineer Jobs in Boston, MA (NOW HIRING)

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 ...

3Core Systems, Inc.

IT Data Analyst

Quincy, MA · On-site

... Analytics Engineer Associate (DP-600), Fabric Data Engineer Associate (DP-700) • Prior experience with Microsoft Fabric, relational and non-relational databases, data pipelines, medallion ...

Avison Young

Lead, Analytics Engineering

Boston, MA

$145K - $165K/yr

Overview As a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate ...

3coresystems

IT Data Analyst

Quincy, MA · On-site

... Analytics Engineer Associate (DP\-600), Fabric Data Engineer Associate (DP\-700) Prior experience with Microsoft Fabric, relational and non\-relational databases, data pipelines, medallion ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Boston, MA

Analytics Engineer information

See Boston, MA salary details

$66.9K

$116.8K

$190.5K

How much do analytics engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for analytics engineer in Boston, MA is $116,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,245.00 and $131,136.00 per year, depending on experience, location, and employer.

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 engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

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 is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

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.
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:
What job categories do people searching Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Analytics Engineer jobs in Boston, MA are:
Analytics Engineer jobs near you
Staff AI Data Analytics Engineer

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.
What you'll do
Data Integration & Modeling
  • Aggregate and unify data across disparate systems.
  • Design scalable data models and pipelines to enable reliable and real-time analytics.

AI-Driven Analytics & Reporting
  • Leverage agentic AI tools to dynamically generate reports and dashboards.
  • Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
  • Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.

Dashboarding & Visualization
  • Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
  • Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
  • Ensure reporting is actionable and aligned to business priorities.

Risk Identification & Actionable Recommendations
  • Analyze data to identify risks, inefficiencies, and performance gaps
  • Provide clear, data-driven recommendations to mitigate risks and improve outcomes.

Data Governance
  • Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
  • Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

What you'll need
  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
  • Experience building agentic AI frameworks for analytics automation.
  • Strong proficiency in SQL and Python (data manipulation, analysis, automation).
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Experience working with large, multi-source datasets and building scalable data models.
  • Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
  • Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
  • Strong business acumen with the ability to translate data into actionable insights.
  • Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.

Our environment
  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-Hybrid
#LI-DW
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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