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

Cni

Data Analyst III

Natick, MA

$95K - $120K/yr

Collaborates with IT and data engineering teams to enhance data infrastructure and ensure scalability and reliability of analytics solutions. Leads the creation of interactive dashboards and ...

Cni

Data Analyst III

Natick, MA · On-site

$95K - $120K/yr

Collaborates with IT and data engineering teams to enhance data infrastructure and ensure scalability and reliability of analytics solutions. Leads the creation of interactive dashboards and ...

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Showing results 21-40

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

Data Analytics Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics engineer in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are popular job titles related to Data Analytics Engineer jobs in Worcester, MA?

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

What job categories do people searching Data Analytics Engineer jobs in Worcester, MA look for?

The top searched job categories for Data Analytics Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Data Analytics Engineer jobs?

Cities near Worcester, MA with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Associate Director, Data Analytics and Technical Solutions

Alkermes

Waltham, MA • Hybrid

$167K - $190K/yr

Full-time

Re-posted 22 days ago

Job description

Reporting to the Director, Data Analytics and Technical Solutions, this position is responsible for designing, maintaining and governing the Technical Solutions' clinical data ecosystem. This position will bridge the gap between complex clinical data sources and actionable business intelligence metrics utilized by Clinical Operations, Data Management and Clinical Programming departments within the Clinical Development Operations organization. 

Why join Team Alkermes?

Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.

We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine. 

Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law.  Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Alkermes is an E-Verify employer.

  • Bachelor's degree in a scientific or technical discipline (e.g., Computer Science, Information Systems, Engineering, or related field) required; advanced degree (Master's or MBA) preferred.

  • Demonstrated background in science and/or information technology, with a preference for candidates with a strong technical foundation.

  • PMP certification or equivalent project management credential preferred.

  • Minimum of 8 years of relevant experience, with prior experience in the pharmaceutical or biotechnology industry preferred.

  • Advanced technical expertise in databases, EDC platforms, Snowflake, Tableau, data imports/integrations; Python, SQL and/or SAS programming.

  • Experience supporting or driving data solutions projects or system implementation (i.e., data dashboards, data warehouse, data visualization and/or risk-based data review tools/systems) a plus.

  • Advanced knowledge of GCP/ICH standards, 21 CFR Part 11, CDISC requirements.

  • Demonstrated ability to collaborate effectively across cross-functional teams.

  • Strong interpersonal, organizational, and prioritization skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.

  • Proven analytical and problem-solving skills, with the ability to translate business needs into technical solutions.

  • Ability to communicate complex technical concepts and data insights clearly to both technical and non-technical stakeholders. 

Alkermes has recently adopted a hybrid working environment to support and meet the needs of employees and this role will operate in a flexible environment with 60% of time in the office and 40% from home. This position is eligible for the hybrid workplace model, requiring work to be completed onsite at our Waltham, MA office at least 3 days per week. This role is not eligible for fully remote work. 

The annual base salary for this position ranges from $167,000 to $190,000. In addition, this position is eligible for an annual performance pay bonus.  Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package.  Additional details can be found on our careers website: www.alkermes.com/careers#working-here  
#LI-MB1
 

  • Support the Clinical Operation data strategy / development initiatives including systems and technology integration, data collection and data storage into Alkermes Data Lake. 

  • Lead and/or support other clinical data technology-based data collection initiatives including but not limited to EDC, IxRS, and ePRO/eCOA.

  • Responsible for developing Data Models, Data Flow and Data Governance & Standards processes utilizing industry standards like CDISC.

  • Collaborate closely with the Data Analytic teams to build robust data models in Snowflake to support clinical analytics. 

  • Support CDO leaders and other functional leaders to ensure data collection effectiveness and efficiencies from systems and technology platforms.

  • Collaborate closely with clinical development operations teams to triage Study or Program level data collection issues, risks and performance with business data collection processes, systems and/or technology. 

  • Support clinical data review, analytics and RBM solutions including data visualization and mining using contemporary or industry best practice tools.

  • Champion efficient industry best practices; promote technical innovation.

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