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

Constant Contact

Analytics Engineer

Waltham, MA · Hybrid

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 ...

Constant Contact

Analytics Engineer

Waltham, MA · On-site +1

$84K - $101K/yr

Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions. * Ensure data quality and integrity ...

Xometry

Analytics Engineer II

Waltham, MA · Hybrid

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

Xometry

Analytics Engineer II

Waltham, MA · On-site

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Qualifications • Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field. • Strong analytical and problem-solving skills ...

Busek

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field. * Strong analytical and problem-solving skills with the ability to ...

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Showing results 1-20

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 Aug 15, 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 are the most commonly searched types of Data Analytics Engineer jobs in Worcester, MA?

The most popular types of Data Analytics Engineer jobs in Worcester, MA are:

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 11% Internship, 45% Full Time, 33% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Analytics Engineer

Constant Contact

Waltham, MA • Hybrid

Full-time

Posted 28 days ago

Constant Contact rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 50 rated marketing agency

Job description

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, building robust data models, and enabling data analysts and other stakeholders to extract meaningful insights. Your work will directly impact decision-making processes across the organization.

*This is a flexible hybrid role from our headquarters in Waltham, MA.  As part of the interview process, there will be an onsite interview in Waltham, MA. 

What you'll do:

  • Design, build and optimize data models for analytical and operational use cases.
  • Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).
  • Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
  • Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
  • Develop and maintain data infrastructure and tooling to support analytics workflows.
  • Monitor and troubleshoot data pipelines/models and reports to ensure smooth operation and timely data delivery.
  • Implement and enforce data governance and security measures.
  • Provide reliable and trustworthy models for the Organization to make critical decisions.
  • Experience with the Finance domain/analytics is a plus.

Who you are:

  • 2+ years of experience as an Analytics Engineer, Data Engineer, or a similar role.
  • Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake.
  • Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).DBT - Preferred.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with Snowflake is desirable.
  • Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Bonus points:

  • Experience with cloud databases 
  • Experience in Reporting tools.
  • Knowledge of machine learning concepts
  • Familiarity with data governance and compliance standards.
  • Ability to work in an agile environment.

What Constant Contact employees say

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Hours and flexibility

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