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Insurance Data Analytics Jobs in Lancaster, PA (NOW HIRING)

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

Helps to identify, report, analyze, and resolve data issues related to uniqueness, integrity ... Medical, dental, vision, life insurance, 401(k) match, short- and long-term disability, health ...

TE Connectivity

Analytics Pricing Manager

Middletown, PA · On-site

$122K - $183K/yr

... data. Key Responsibilities Pricing Analytics Leadership • Lead all centralized pricing analytics ... insurance, employee stock purchase plan, paid time off and voluntary benefits. EOE, Including ...

Metropolitan Staffing

Data Engineer

Wyomissing, PA

$110K - $132K/yr

... analytics. The individual will work closely with developers, business teams, and IT leadership to ... We offer a competitive compensation package including medical, dental, vision, life insurance ...

Metropolitan Companies

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

... analytics. The individual will work closely with developers, business teams, and IT leadership to ... We offer a competitive compensation package including medical, dental, vision, life insurance ...

Eurofins

Associate Data Review Scientist

Lancaster, PA · On-site

$57K - $57K/yr

Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety ... Life and disability insurance * 401(k) with company match * Paid vacation and holidays Eurofins USA ...

Penske

HR Business Financial Analyst

Reading, PA · Hybrid

Data Analysis: Executing established analytical processes (including trending, correlation ... standard data definitions to insure reporting and process consistency across all data elements ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Lancaster, PA

Insurance Data Analytics information

See Lancaster, PA salary details

$23

$53

$91

How much do insurance data analytics jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for insurance data analytics in Lancaster, PA is $53.21, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 most commonly searched types of Insurance Data Analytics jobs in Lancaster, PA? The most popular types of Insurance Data Analytics jobs in Lancaster, PA are:
What are popular job titles related to Insurance Data Analytics jobs in Lancaster, PA? For Insurance Data Analytics jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Lancaster, PA look for? The top searched job categories for Insurance Data Analytics jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Insurance Data Analytics jobs? Cities near Lancaster, PA with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Lancaster, PA as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $110,667 per year, or $53.2 per hour.
Data Steward

Data Steward

Cleveland Brothers

Harrisburg, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Cleveland Brothers rating

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

75th of 171 rated vehicle equipment hire

Job description

Cleveland Brothers, the largest Cat® dealer in Pennsylvania, northern West Virginia, and western Maryland, has an immediate opportunity for an experienced Data Steward. We are seeking a highly motivated Data Steward to join our team onsite at our Murrysville, PA or Harrisburg, PA corporate office.
We have launched a new data practice and are eager to welcome fresh perspectives and innovative ideas to our organization! The Data Steward will be part of the Cleveland Brothers Parts and Service Team, working with business partners, data professionals and technical resources to ensure our data assets and key processes deliver value, follow governing practices and policies.
Position Summary:
The steward will act as a trusted advisor to business partners by ensuring the data maintenance and growth of our data is adopted and scalable to the outcomes for the stakeholders. As Cleveland Brothers continues their ERP migration journey, the steward will work with the project team to aid in ensuring the migration, completeness and quality of our master data meets our integrity requirements. Ensuring the data supports current and future business processes due to a new ERP will be a focus during the active project and as the stability of the platform matures.
Primary Responsibilities:
  • Collaborate with various stakeholders and leaders to implement data management strategies, policies, and governance frameworks
  • Helps to identify, report, analyze, and resolve data issues related to uniqueness, integrity, accuracy, consistency, and completeness
  • Establishes and enforces data standards, naming conventions, and data classification frameworks
  • Conducts data profiling and analysis to assess the quality, completeness, and accuracy of data assets
  • Implements and monitors data governance processes, including data access controls, data retention policies, and data life cycle management
  • Collaborate with Cleveland Brothers' IT and stakeholders to ensure proper data synchronization across systems
  • Ensures data is deemed fit for purpose by developing data quality rules and regularly auditing data
  • Participates in the development of data policies, including data retention, data privacy, data use, and data regulations

Skills / Knowledge / Qualifications:
Bachelor's degree with Business or STEM focus (e.g. Computer Science, Engineering, Information Systems, etc.) or equivalent work experience will be considered
  • 5+ years of experience in master data management, data analytics, data engineering, or a related area
  • Strong understanding of data management concepts, data governance frameworks, and data quality principles
  • Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software
  • Experience working within data warehouses
  • Experience with data integration tools, including ETL
  • Familiarity with metadata management and data dictionary tools
  • Ability to effectively and persuasively communicate technical standards, practices, and initiatives to drive data governance throughout the organization

Why Join the Cleveland Brothers Team:
  • Build the future: Build a modern capability that will be the foundation for the organization for the future
  • Market Leading Benefits Package: Medical, dental, vision, life insurance, 401(k) match, short- and long-term disability, health savings account, PTO, Profit Sharing Account.
  • Stability - Cleveland Brothers has been around for 75 years. Experience tremendous job security and potential to obtain an essential role with an organization that is around for the long haul.

About Us: Founded in 1948, Cleveland Brothers Equipment Co., Inc., is the exclusive Cat® dealer of western and central Pennsylvania, northern West Virginia and western Maryland, providing new, used and rental equipment, parts and service.
Cleveland Brothers supplies a vast variety of solutions and products, including construction machinery, industrial diesel and gas engines and generators, air compressors and boosters, oil and gas machinery and much more, in addition to full truck service for all makes and models. With 29 locations, customers have access to all the parts and equipment needed to get the job done, backed by industry-leading technicians and staff. For more information, please visit www.ClevelandBrothers.com.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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