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Associate In Insurance Data Analytics Jobs in Worcester, MA

Busek Co Inc

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics ... Health, dental, and vision insurance. * Paid time off and holidays. * Retirement savings plan (401k)

Busek

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics ... Health, dental, and vision insurance. * Paid time off and holidays. * Retirement savings plan (401k)

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 ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience). * Experience: 3-7 years of ...

Methods Machine

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience). * Experience: 3-7 years of ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Worcester, MA

Associate In Insurance Data Analytics information

See Worcester, MA salary details

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How much do associate in insurance data analytics jobs pay per month?

As of Jul 16, 2026, the average monthly pay for associate in insurance data analytics in Worcester, MA is $6,276.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,700.00 and $6,691.67 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

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

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Worcester, MA? For Associate In Insurance Data Analytics jobs in Worcester, MA, the most frequently searched job titles are:
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Associate In Insurance Data Analytics jobs near you
Data Governance & Delivery Lead

Data Governance & Delivery Lead

Next Insurance

Waltham, MA

$134K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Location: Waltham, MA — Hybrid (3 day/week - Monday, Tuesday, Thursday)

ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.

Simply put, wherever you find small businesses, you'll find ERGO NEXT.

Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in.

We're looking for a Data Governance & Delivery Lead to join our Data Organization as we bring Data Science, Analytics Engineering, and Data Engineering into a more unified operating model. This newly created IC4 role sits between technical delivery and business stakeholders, helping the data org scale with clearer intake, prioritization, ownership, delivery visibility, and governance.

This is not a project coordinator or Jira administration role. We're looking for someone with real fluency in how data teams operate, how data pipelines and ownership boundaries work, and how to build trust across technical and business teams without adding unnecessary bureaucracy. The role works directly with the Global VP of Data and partners closely with leaders across Data Engineering, Analytics Engineering, Data Science, Claims, Finance, Actuarial, Product, and Underwriting.

What You'll Do:
  • Design, launch, and run a structured intake and prioritization process across Data Science, Analytics Engineering, and Data Engineering.
  • Own the operating model for cross-team sign-off, ownership boundaries, escalation paths, and delivery traceability.
  • Partner with technical data leaders to identify dependencies, surface risks, and prevent downstream impact from schema, pipeline, or platform changes.
  • Translate business needs from Claims, Finance, Actuarial, Product, Underwriting, and other stakeholders into clear, intake-ready data requests.
  • Create visibility into active commitments, blocked work, risks, decisions, and upcoming milestones for the Global VP of Data and executive stakeholders.
  • Embed the Data Organization earlier in product, engineering, annual, and quarterly planning cycles so data requirements are understood before they become blockers.
What We Need:
  • 7+ years of experience operating in a data-intensive environment, ideally in insurance, fintech, financial services, or another regulated industry.
  • Strong working knowledge of Data Engineering, Analytics Engineering, and Data Science functions, including how ownership boundaries and handoffs work in practice.
  • Experience owning or building intake, prioritization, governance, delivery, or operating processes across multiple technical teams.
  • Ability to understand data pipelines, schema changes, semantic layers, data quality, downstream dependencies, and modern data platform concepts well enough to identify risk and ask the right questions.
  • Strong communication skills with the ability to run meetings involving both senior business stakeholders and technical data leaders.
  • Proven ability to influence without direct authority, resolve ambiguity, document decisions, and hold teams accountable through process, transparency, and relationships.
Unstoppable Qualities:
  • You build structure in ambiguous environments and know how to turn ad hoc coordination into a scalable operating model.
  • You bring governance without bureaucracy — enough process to create clarity, not so much that it slows the business down.
  • You can translate between technical data teams and business stakeholders, holding ground with both.
  • You know when to escalate, when to resolve directly, and how to make risks visible before they become incidents.
  • You are comfortable influencing senior technical leaders without needing a formal reporting line.

The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.

US annual base salary range for this full-time position:
$134,000—$220,000 USD

Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.