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Data Analytics Jobs in Groton, MA (NOW HIRING)

City of Worcester

DATA ANALYST

Worcester, MA · On-site

$71K - $93K/yr

Associate's degree in computer science, information systems, information technology, data analytics, or related field AND; * Two (2) years of experience in technical support, systems administration ...

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 ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

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 ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.) * Basic knowledge of descriptive and inferential statistics (e ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.) * Basic knowledge of descriptive and inferential statistics (e ...

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All JobsData Analytics JobsData Analytics Jobs in Groton, MA

Data Analytics information

See Groton, MA salary details

$26

$59

$103

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Groton, MA is $59.96, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $67.93 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What cities near Groton, MA are hiring for Data Analytics jobs? Cities near Groton, MA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Groton, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,712 per year, or $60 per hour.

Staff AI Data Analytics Engineer

Symbotic

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Symbotic rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

181st of 242 rated software companies

Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are looking for an AI Analytics Engineer to join Symbotic. Your job will be to design and build an intelligent analytics ecosystem that aggregates operations data across multiple systems and leverages agentic AI to generate insights, dashboards, and proactive recommendations. This individual will play a critical role in enabling scalable, real-time visibility into business performance as we grow globally, with a focus on hands-on development of robust, production-level data systems.
What you'll do
Data Integration & Modeling
  • Aggregate and unify data across disparate systems.
  • Design scalable data models and pipelines to enable reliable and real-time analytics.

AI-Driven Analytics & Reporting
  • Leverage agentic AI tools to dynamically generate reports and dashboards.
  • Build solutions that provide both real-time visibility and historical trend analysis across key business initiatives.
  • Implement AI-driven workflows to automate data analysis, reporting, insight generation, and risk mitigation strategies.

Dashboarding & Visualization
  • Develop intuitive, executive-ready dashboards that highlight key performance indicators and insights.
  • Collaborate with cross-functional analytics and business partners to align on priorities and ensure insights translate into measurable outcomes.
  • Ensure reporting is actionable and aligned to business priorities.

Risk Identification & Actionable Recommendations
  • Analyze data to identify risks, inefficiencies, and performance gaps
  • Provide clear, data-driven recommendations to mitigate risks and improve outcomes.

Data Governance
  • Establish and enforce enterprise-wide data governance and standards, including clear ownership of core metrics across systems, metric definitions, calculation methodologies, source-of-truth alignment across systems.
  • Lead data governance and data quality efforts, including identifying and remediating inconsistencies across data sources and pipelines, and ensuring accuracy, consistency, and trust in analytics outputs.

What you'll need
  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
  • Minimum of 8 years of experience in Data Engineering, Analytics Engineering, or Data Science with a strong foundation in statistical analysis and data modeling.
  • Experience building agentic AI frameworks for analytics automation.
  • Strong proficiency in SQL and Python (data manipulation, analysis, automation).
  • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Experience working with large, multi-source datasets and building scalable data models.
  • Demonstrated hands-on coding capability, with experience designing, building, and maintaining production-grade data pipelines and analytics systems.
  • Experience defining and implementing data governance frameworks, including metric standardization, data ownership models, and source-of-truth alignment.
  • Strong business acumen with the ability to translate data into actionable insights.
  • Comfortable operating in a fast-paced, high-growth environment where speed, ownership, and adaptability are critical.

Our environment
  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-Hybrid
#LI-DW
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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