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

Lytx

Revenue Analytics Manager

Framingham, MA

$123K - $155K/yr

Revenue AnalyticsManager The Revenue Analytics Manager delivers the data, analytics, and insights ... data warehouses. Benefits: * Medical, dental and vision insurance * Health Savings Account

TalentBurst, Inc.

Azure Data Architect

Worcester, MA · On-site

$63.50 - $81.75/hr

... Insurance Industry Experience. Strong experience in data architecture, data modeling, and database design across transactional and analytical systems. Hands on experience with Microsoft Azure data ...

ULINE

Operations Analyst

Worcester, MA · On-site

$77K - $110K/yr

Prior auditing and data analytics experience. * Strong communication and problem-solving skills with excellent attention to detail. Benefits * Complete health insurance coverage and 401(k) with 6% ...

TetraScience

Scientific Data Architect

Waltham, MA · On-site +1

$68.75 - $88.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific ... Company paid Life Insurance, LTD/STD * Remote Work, when not visiting customers onsite We are not ...

TetraScience

Scientific Data Architect

Waltham, MA · On-site

$68.75 - $88.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific ... Company paid Life Insurance, LTD/STD * Remote Work, when not visiting customers onsite We are not ...

TetraScience

Scientific Data Architect

Waltham, MA · On-site

$68.75 - $88.50/hr

Performed extensive exploratory data analysis and workflow optimization to enable scientific ... Company paid Life Insurance, LTD/STD * Remote Work, when not visiting customers onsite We are not ...

Tjx

Risk Assurance Analyst

Marlborough, MA · On-site +1

$71.30K - $89.10K/yr

... data analytics, and process improvement. This is a hybrid position based at our Marlborough, MA ... HSA; health care FSA; life insurance; short/long-term disability; paid holidays/vacation /sick ...

New

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ... insurance; generous paid time off including vacation, sick leave, floating and fixed holidays ...

Global Partners LP

Data Engineering Intern

Waltham, MA · On-site

$16.03 - $20.46/hr

Collaborate with analytics engineer and data scientists to build data ingestion pipelines coming ... Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness ...

thg

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114.20K - $137.20K/yr

The Hanover Insurance Group is hiring a Personal Lines Operations Data Engineer to own the day-to ... This role builds and improves ETL workflows that populate SQL tables used by analysts to create ...

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How much do insurance data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for insurance data analytics in Worcester, MA is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $61.88 per hour, depending on experience, location, and employer.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.
More about Insurance Data Analytics jobs
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Insurance Data Analytics jobs near you
Revenue Analytics Manager

Revenue Analytics Manager

Lytx

Framingham, MA

$123K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Revenue AnalyticsManager

The Revenue Analytics Manager delivers the data, analytics, and insights that drive go-to-market decisions at Lytx. Partnering closely with Sales, Marketing, and Customer Success leadership. We define pipeline and revenue metrics, surfaces risks across the customer lifecycle, and turns advanced analytics into strategies that drive new customer growth and retentionacross theLytx customer base.

You'll Get to:

  • Define and own pipeline, revenue, and retention metrics that inform GTM strategy across Sales, Marketing, and Customer Success.

  • Partner with Sales and Marketing leadership to surface conversion bottlenecks, coverage gaps, and underpenetrated markets, including TAM, CAC, and LTV analysis.

  • Build and maintainLytx'sIdeal Customer Profile (ICP) using firmographic, behavioral, and product usage data to guide targeting and forecasting.

  • Run churn, renewal, and lifecycle analyses to identify retention risks and expansion opportunities.

  • Build and maintain scalable SQL data models and pipelines that power GTM reporting.

  • Design and own executive Tableau dashboards covering revenue, retention, and operational performance.

  • Translate complex findings into clear narratives for technical and non-technical stakeholders, including executive leadership.

PreferredQualifications

  • 7+ years in analytics, data engineering, or revenue operations within a GTM or SaaS environment.

  • Track record partnering with Sales and Marketing leadership to translate ambiguous problems into structured analyses.

  • Strong command of SaaS metrics, including CAC, LTV, ARR, funnel conversion, and churn.

  • Advanced SQL skills with experience working on large, complex datasets.

  • Proficiency in Tableau or an equivalent BI tool.

  • Experience building and deploying machine learning models in Python or a similar language.

  • Familiarity with Salesforce, Gong, marketing automation platforms, and modern data warehouses.

Benefits:

  • Medical, dental and vision insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Telehealth
  • 401(k) and 401(k) match
  • Life and AD&D insurance
  • Short-Term and Long-Term Disability
  • FTO or PTO
  • Employee Well-Being program
  • 11 paid holidays plus 1 inclusive holiday per year
  • Volunteer Time Off
  • Employee Referral program
  • Education Reimbursement Program
  • Employee Recognition and Appreciation program
  • Additional perk and voluntary benefit programs

Salary is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for an incentive compensation plan. The expected hiring salary for this position is:

$123,000.00 - $155,000.00

You're driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.

If you're looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we'd love to meet you.

Together, we're helping make roadways safer and saving lives!

Lytx, Inc. is proud to be an equal opportunity employer. We're committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email TA@lytx.com. Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws.

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