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

Mitre

Senior Software Developer, Data Analytics

Bedford, MA · On-site

$57.25 - $75.75/hr

Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is a plus. Experience analyzing Medicare Fraud data and CMS health data is needed for some projects ...

Munich Re

Technical Architect - Data, Analytics & AI

Lowell, MA · Hybrid

$63.50 - $81.75/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Munich Re

Technical Architect - Data, Analytics & AI

Lynn, MA · Hybrid

$65.75 - $84.75/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Motion Recruitment

Senior Data Analyst

Woburn, MA · On-site

$91K - $115K/yr

This is a highly impactful role at the intersection of analytics, data engineering, and robotics. You'll transform complex telemetry, sensor, and computer vision data into actionable insights that ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Boston, MA

Data Analytics Engineer information

See Boston, MA salary details

$48.4K

$141.1K

$193.1K

How much do data analytics engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analytics engineer in Boston, MA is $141,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $149,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Boston, MA? The most popular types of Data Analytics Engineer jobs in Boston, MA are:
What are popular job titles related to Data Analytics Engineer jobs in Boston, MA? For Data Analytics Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Boston, MA look for? The top searched job categories for Data Analytics Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Analytics Engineer jobs? Cities near Boston, MA with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $141,096 per year, or $67.8 per hour.

Consultant, Data Analytics

Beghou Consulting

Boston, MA

Full-time

Re-posted 24 days ago

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report
on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
 
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success.
We’ll Trust you to:
  • Work with cross-functional project teams in the design and development of high-quality deliverables for clients.
  • Collaborate with leadership to define project scope, approach, and development strategies.
  • Contribute to Beghou’s internal data warehouse build.
  • Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. 
  • Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams.
  • Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight.
  • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting.
  • Coordinate with global and diverse teams to ensure seamless project execution.
  • Contribute to internal firm initiatives to drive organizational growth.
You’ll Need to Have:
  • Bachelor’s or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry.
  • Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. 
  • Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. 
  • Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel.
  • Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred.
  • Experience with Claude Code or ChatGPT Codex is preferred.
  • Excellent analytical and quantitative skills, with a proven ability to solve complex problems.
  • Exceptional communication skills, both written and verbal.
  • Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously.
  • Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment.
  • Familiarity with industry best practices in data analytics within the pharmaceutical sector.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000.

We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.


At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.