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Overnight Insurance Data Analytics Jobs in Pennsylvania

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

AVI Foodsystems

Head of Data & Analytics

Sharon, PA

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Pennsylvania

Overnight Insurance Data Analytics information

What is overnight insurance data analytics?

Overnight Insurance Data Analytics refers to the process of analyzing insurance data during overnight shifts or using automated systems to process large volumes of data outside of regular business hours. This ensures that insurance companies can quickly identify trends, detect fraud, and make informed decisions by the start of the next business day. Professionals in this role typically work with claims data, customer information, and risk assessments using advanced analytical tools and software. The goal is to improve operational efficiency and support decision-making processes.

What are the key skills and qualifications needed to thrive as an overnight insurance data analytics professional?

To excel in Overnight Insurance Data Analytics, you need strong analytical abilities, proficiency in statistical methods, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and insurance-specific software is often required, along with experience in using data visualization platforms like Tableau or Power BI. Attention to detail, problem-solving skills, and the ability to communicate findings clearly are essential soft skills for this role. These competencies are vital for accurately interpreting large datasets during non-standard hours, supporting timely business decisions, and identifying trends or anomalies that impact insurance operations.

What unique challenges might I encounter working in an overnight insurance data analytics role?

Working overnight in insurance data analytics can present unique challenges, including adjusting to non-traditional work hours and maintaining effective communication with daytime teams. You may often handle urgent data requests or last-minute reporting, which requires strong problem-solving skills and the ability to work independently. Additionally, you’ll likely need to coordinate with colleagues across different time zones and shifts to ensure seamless handoffs and continuity in analytics projects. Adapting to the overnight schedule while maintaining high attention to detail and data integrity is essential for success in this role.

What is the difference between Overnight Insurance Data Analytics vs Underwriting Analyst?

AspectOvernight Insurance Data AnalyticsUnderwriting Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like CAP, CPCU beneficialBachelor's in Business, Finance, or related field; certifications like CPCU or ARM advantageous
Work EnvironmentData centers, analytics teams, remote or office settingsInsurance companies, underwriting departments, office settings
Industry UsageFocuses on analyzing insurance data overnight to support decision-makingEvaluates risks and determines policy terms for insurance applications

While both roles involve insurance data, Overnight Insurance Data Analytics primarily focuses on analyzing data during overnight shifts to inform business decisions, whereas Underwriting Analysts assess risks and set policy terms. The roles share similar credentials but differ in daily tasks and work environment.

What are the most commonly searched types of Insurance Data Analytics jobs in Pennsylvania?

The most popular types of Insurance Data Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Overnight Insurance Data Analytics jobs?

Cities in Pennsylvania with the most Overnight Insurance Data Analytics job openings:

Overnight Insurance Data Analytics jobs near you

Project Manager - Data Warehousing & Healthcare Insurance

Philadelphia, PA • On-site

Winaxis
IT Services • 11 - 50 employees
Learn more about Winaxisexternal

$52.25 - $70.75/hr

Contractor

Re-posted 22 days ago

Job description

Job Summary (List Format):
- Role: Project Manager – Data Warehousing & Healthcare Insurance
- Location: Philadelphia, PA (onsite only, local candidates within 30 miles)
- Job Type: Contract
- Industry: Healthcare Insurance/Data Warehousing
- Visa: Any (except OPT/CPT)
Key Responsibilities:
- Lead end-to-end data warehousing projects for healthcare insurance clients
- Coordinate with data engineers, business analysts, and stakeholders to gather and define project requirements
- Oversee data migration, data transformation, and data reporting initiatives
- Collaborate with compliance teams to implement data governance best practices
- Ensure project alignment with business objectives and overall data strategy
- Monitor and manage project risks, budgets, and timelines
- Drive issue resolution and ensure project success
Required Qualifications:
- 6+ years of Project Management experience (with healthcare insurance and data warehousing focus)
- Strong knowledge of data warehousing concepts, ETL processes, and business intelligence (BI) tools
- Hands-on experience with SQL, Snowflake, Redshift, or similar data platforms
- Experience working with both Agile and Waterfall project management methodologies
- PMP or Agile certification is a plus