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Insurance Data Analytics Jobs in Philadelphia, PA

The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

New

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

New

GCS, Data Analyst

Berwyn, PA · On-site

$90K - $157K/yr

Previous experience in analytics, quickly generating insights from various security data sources ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

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Showing results 1-20

Insurance Data Analytics information

See Philadelphia, PA salary details

$24

$55

$95

How much do insurance data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for insurance data analytics in Philadelphia, PA is $55.24, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $62.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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 examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

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 Philadelphia, PA? The most popular types of Insurance Data Analytics jobs in Philadelphia, PA are:
What job categories do people searching Insurance Data Analytics jobs in Philadelphia, PA look for? The top searched job categories for Insurance Data Analytics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Insurance Data Analytics jobs? Cities near Philadelphia, PA with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $114,908 per year, or $55.2 per hour.

Manager - Data Analytics & Reporting

Silvi Concrete Products, Inc.

Fairless Hills, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Overview

Manager - Data Analytics & Reporting

Location: Fairless Hills, PA (Fully Onsite) 

Industry-Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.

Silvi Materials has been expanding our "A" Team of employees since 1947! Our team has grown to 15+ companies, employing over 850 people across 30+ locations in Southeastern Pennsylvania, New Jersey, and North Carolina. Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success. We value the fresh ideas and perspectives of each new member of our team.

What does Silvi Materials offer you, you may ask?Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more!Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement!Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

So, what does a Manager - Data Analytics & Reporting do?

The Manager - Data Analytics & Reporting leads the organization's data analysis, reporting, and business intelligence functions to enhance visibility into business results and inform decision making. This role is responsible for delivering data-focused insights, developing scalable reporting solutions, and translating complex data into actionable information for senior leadership.This individual partners across all business functions to align reporting capabilities with evolving business needs, ensuring data-driven insights support operational performance, strategic initiatives, and continuous improvement efforts.

Key Responsibilities

Data Analytics & Reporting Leadership:Lead and develop the data analytics and reporting function, including mentorship and support of analysts and reporting resources. Set priorities, manage workloads, and oversee the intake and delivery of reporting and analytics requests to ensure high-quality outputs aligned with business goals.  Lead the mining, modeling, and transformation of enterprise data.  Establish and maintain scalable data pipelines across systems.  Develop structured data models for operational and financial reporting.  Identify automation and advanced analytics opportunities.

Data Strategy & Management:

    • Ensure the accuracy, consistency, and reliability of data used in reporting by establishing effective data quality governance, standards, and processes.
    • Define and drive data management strategy, standards, and best practices to support scalable and reliable reporting.
    • Ensure data architecture, processes, and tools are aligned with business needs and performance expectations.
    • Continuously enhance data capabilities, identifying opportunities to leverage automation and advanced analytics to improve efficiency and insight generation. 
    • Oversee master data alignment across ERP, dispatch, CRM, and operational systems.

Cross-Functional Collaboration & Project Support:

  • Partner with business leaders to analyze, define, and prioritize reporting needs and design new or enhanced reporting functionality to ensure alignment with current and evolving business processes and requirements.
  • Support compliance, system implementation, and data transformation initiatives, ensuring reporting remains aligned with system changes, integrations, and evolving organizational needs.

Data Visualization & Communication:

  • Develop clear, concise, and impactful dashboards, scorecards, and executive-level reporting packages.
  • Present insights in a way that enables informed, data-driven decision making across all levels of the organization.
  • Establish and maintain key performance indicators (KPIs) and metrics to monitor business performance.
  • Provide ongoing reporting and analysis to track progress against organizational goals.

Qualifications & Experience

  • Education:Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field is required. Master's degree (MBA, MIS) preferred.
  • Experience:5+ years of experience in data analytics, reporting, or business intelligence roles, with demonstrated experience delivering insights to senior leadership. Prior leadership or team management experience preferred.  3+ years in a supervisory, managerial, or technical leadership role, preferred.
  • Technical Proficiency:Strong experience with SQL, Python, Excel, and data visualization tools (e.g., Power BI). Experience building dashboards, reports, and automated reporting solutions is required.
  • Analytical Skills:Proven ability to analyze large datasets, identify trends, and translate findings into actionable business recommendations.
  • Business & Reporting Acumen:Experience developing KPI frameworks and delivering reporting that supports operational and strategic decision making.
  • Communication Skills:Strong ability to present complex data clearly and effectively to senior leadership and cross-functional teams.

Additional Qualifications:

  • Experience with ERP, CRM, or enterprise systems is a plus
  • Expertise with Databricks, Snowflake, C60 or similar data and analytics platforms is highly preferred
  • Experience with development through Microsoft Fabric is preferred.
  • Familiarity with data governance, compliance, and reporting best practices
  • Experience supporting system implementations or reporting enhancements
  • Strong attention to detail and ability to manage multiple priorities

Physical Demands

In a typical work setting, people in this job:

  • Use hands/fingers to type and move office objects
  • Sit for long periods of time
  • Hear sounds and recognize the difference between them
  • See details of objects that are less than a few feet away and far distances
  • See differences between colors, shades, and brightness
  • Lift 20 pounds on occasion
  • Kneel, stoop, crouch, bend, stretch, twist, or crawl on occasion

Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

Employment Type: FULL_TIME