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Manager Data Analytics Engineer Jobs in Worcester, MA

As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology data to support vital research initiatives. You will collaborate with healthcare professionals and ...

DATA ANALYST

Worcester, MA · On-site

$71K - $93K/yr

Administer, configure, and support department technology systems including Records Management ... Bachelor's degree in computer science, information systems, data analytics, or related field.

Summary of Position: The Biostatistical Data Programmer will work under the guidance of a ... and management systems. • Experience with data analytics platforms, frameworks and/or workflow ...

Technical Product Manager

Newton, MA · On-site

$183K - $212K/yr

Seeking a Technical Product Manager with expertise in data to collaborate with Analytics/data Engineering teams, drive critical initiatives, and deliver innovative products of the central Data ...

Bachelor's degree in a related field (Data Analytics, Statistics, Computer Science, Business), or equivalent experience * Performs other duties as assigned by the R&D Manager in support of Covenir ...

Bachelor's degree in a related field (Data Analytics, Statistics, Computer Science, Business), or equivalent experience * Performs other duties as assigned by the R&D Manager in support of Covenir ...

Bachelor's degree in a related field (Data Analytics, Statistics, Computer Science, Business), or equivalent experience * Performs other duties as assigned by the R&D Manager in support of Covenir ...

Showing results 41-60

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:

Senior Data Scientist, Product Analytics

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a highly analytical and data-driven Senior Data Scientist (Product Analytics) with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap.
Part of the scope of this role is measuring, experimenting on, and quantifying the impact of one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will design the metric framework, experimentation strategy, and reporting that tell us whether the embedded experience inside the partner's ecosystem - Designcenter, and Teamcenter - is actually delivering the "science fiction speed" digital thread from ideation to delivery, and how to make it better.
How You'll Contribute:
  • Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement
  • Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis, and other experiments. Define clear hypotheses, target segments, and success metrics
  • Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights
  • Integration Measurement: Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with our partner. Define success metrics and instrumentation across the in-CAD experience (Solid Edge, NX, Designcenter) and the Xometry marketplace, design cross-surface experiments and causal analyses that join the two funnels, work through the identity-resolution, attribution, and statistical-power challenges of low-volume enterprise cohorts, and quantify the funnel from designer intent in Teamcenter to manufactured part - making the digital thread's business impact legible to leadership.
  • KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms, including KPIs that make sense in a PLM/CAD context (e.g., time-from-design-to-quote, in-CAD-to-order conversion, designer adoption per seat) as well as in the marketplace
  • Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders
  • Collaboration: Work closely with product managers, engineers, designers, machine learning scientists, and - for the Siemens integration - partner engineering teams to implement and iterate on experiment findings and product improvements
  • Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership
  • Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation, including the cross-system data flows that span the Siemens and Xometry surfaces
  • Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices, especially for partner-integrated and multi-surface products

What You'll Bring to Xometry:
  • Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or another quantitative discipline
  • 6-8 years of relevant experience
  • Strong proficiency in data analysis, statistical modeling, and data visualization
  • Proven experience in designing, implementing, and analyzing A/B tests and other experiments
  • Solid understanding of statistical significance and hypothesis testing
  • SQL is a must. Python is nice to have. Any experience with Looker is also desirable.
  • Knowledge of data science concepts and methodologies
  • Excellent communication and presentation skills, with the ability to explain complex data insights - including to external partner engineering teams
  • Strong analytical and problem-solving skills
  • Experience working in a product-driven environment
  • Attention to detail and a commitment to data accuracy

Nice to have:
  • multi-surface / partner-integration analytics: Experience designing experiments and metrics across multi-surface or partner-integrated products (embedded experiences, CAD/PLM integrations, B2B SaaS plug-ins, extension or in-app funnels), including the identity-resolution, attribution, and statistical-power problems that come with low-volume enterprise cohorts.
  • CAD/PLM/manufacturing fluency: Familiarity with CAD, PLM, or manufacturing workflows; comfort talking with designers, manufacturing engineers, and partner engineering teams about how they actually use tools day-to-day.
  • causal methods at scale: Hands-on experience with quasi-experimental and causal inference methods (difference-in-differences, synthetic control, CUPED, switchback, geo-experiments) for situations where clean A/B isn't feasible - common when the experimental unit is an enterprise account or a designer inside a partner environment.

The estimated base salary range for new hires into this role is $140,000-160,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013