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Manager Data Analytics Engineer Jobs in Worcester, MA

Constant Contact

Analytics Engineer

Waltham, MA · On-site +1

As an Analytics Engineer, you 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 ...

Xometry

Analytics Engineer II

Waltham, MA · Hybrid

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

Constant Contact

Analytics Engineer

Waltham, MA · On-site

$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 · On-site

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

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

Manager Data Analytics Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do manager data analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager 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.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
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 Manager Data Analytics Engineer jobs in Worcester, MA? For Manager Data Analytics Engineer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Worcester, MA look for? The top searched job categories for Manager Data Analytics Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Manager Data Analytics Engineer jobs? Cities near Worcester, MA with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Analytics Engineer

Constant Contact

Waltham, MA • On-site, Remote

Full-time

Posted 22 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

About Us: Constant Contact, an established leader in online marketing, helps small businesses, nonprofits, and individuals stay connected with their customers through email marketing, social media, event marketing, and more. Our mission is to empower small businesses and organizations to create and grow customer relationships and achieve their goals through powerful online marketing tools. We value innovation, collaboration, and a customer-first mindset in everything we do.

Job Summary: As an Analytics Engineer, you 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.

Key Responsibilities:

  • 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.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A Master's degree is a plus.
  • 1-3 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.

Preferred Skills:

  • 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.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity for professional growth and development.
  • Collaborative and inclusive work environment.
  • Flexible work arrangements.

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