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Data Analytics Associate Jobs in Mansfield, MA (NOW HIRING)

CYNET SYSTEMS

Safety Data Analyst

Boston, MA · On-site

$36 - $41/hr

A bachelor's degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a bachelor's degree. * 2+ years of experience in data analytics, technical ...

MSD Malaysia

Associate Director, Data Science

Boston, MA · On-site

$160 - $251/hr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Director (Associate Principal Scientist) to join our data science team. We are ...

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All JobsData Analytics Associate JobsData Analytics Associate Jobs in Mansfield, MA

Data Analytics Associate information

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$3.4K

$6.7K

$9.5K

How much do data analytics associate jobs pay per month?

As of Sep 5, 2026, the average monthly pay for data analytics associate in Mansfield, MA is $6,659.25, according to ZipRecruiter salary data. Most workers in this role earn between $6,041.67 and $7,100.00 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the most commonly searched types of Data Analytics jobs in Mansfield, MA?

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

What cities near Mansfield, MA are hiring for Data Analytics Associate jobs?

Cities near Mansfield, MA with the most Data Analytics Associate job openings:

Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Mansfield, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $79,911 per year, or $38.4 per hour.

Safety Data Analyst

CYNET SYSTEMS

Boston, MA • On-site

$36 - $41/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Overview:

Pay Range: $36.84hr - $41.84hr

Requirement/Must Have:

  • Knowledge and experience with quantitative analysis, including statistical evaluation of incident and operational data, interpretation of key performance indicators, and the ability to integrate and reconcile multi-modal datasets into coherent analytic products that support trend identification, risk assessment, and evidence-based decision-making.
  • Knowledge and experience producing long-form analytical writing products that include literature review, comprehensive documentation, and formal recommendations.
  • Strong verbal and written communication skills across a team, collaborate with team members in other divisions, and present complex findings to a variety of audiences.
  • Competency in data visualization best practices and translating raw data into accessible charts that accurately define the problem and help readers to understand the key recommendations or trend information portrayed.
  • Proficiency in utilizing Microsoft Suite (SharePoint, Excel, Word, PowerPoint).
  • Strong organizational and multi-tasking skills.
  • Problem-solving and trend identification skills.
  • Attention to detail, accuracy of information, and professionalism.
  • Basic statistical analysis skills to include an understanding of linear modeling, standard error, distribution, and variance.
  • Basic data modeling skills to include an understanding of joining, merging, summarizing, and sampling.

Responsibilities:

  • Develop high-quality, academically structured analysis reports (“XX-paper” style) that provide rigorous, data-driven examinations of key safety issues and emerging hazards or trends.
  • Compile data, analyze, and report monthly on trends for progress towards annual safety key performance indicators, as well as an assessment of mitigations to senior leadership.
  • Compile data, analyze, and prepare data packages for Safety Investigations to further prepare investigative teams to understand the context of individual events and key related trends.
  • Compile data, analyze, and prepare ad hoc reports that support various Safety Risk Management activities that review incident and hazard data for potential identification for further actions.
  • Analyze data in coordination with the organization to review progress of mitigations and their impacts from Risk Based Inspection programs.

Nice to Have:

  • Preferred knowledge and experience with Root Cause Analysis, to include causal factor identification, failure mode and effects analysis (FMEA), and the Human Factors Analysis and Classification System (HFACS) framework.
  • Preferred knowledge and experience with programming languages (SQL, R, and/or Python) and their use for performing data and statistical analysis.

Skills:

  • Quantitative analysis.
  • Statistical evaluation.
  • Data visualization.
  • Microsoft SharePoint.
  • Microsoft Excel.
  • Microsoft Word.
  • Microsoft PowerPoint.
  • Technical report writing.
  • Data modeling.
  • SQL.
  • R.
  • Python.
  • Root Cause Analysis.

Qualification And Education:

  • A bachelor’s degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a bachelor’s degree.
  • 2+ years of experience in data analytics, technical report writing, or a related field.
  • Excellent writing skills with long-form, narrative reports that are accessible to non-technical audiences and the broader public audience.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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