Life Insurance Jobs in Harrisburg, PA

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Looking for Life Insurance jobs in Harrisburg, PA? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Harrisburg, PA area.

Analyst,Underwriter

Company: CVS Health

Location: Spring House, PA

Posted Jan 22, 2025

Pharmacy Tech Back End - Full Time

Company: CVS Health

Location: Pittsburgh, PA

Posted Jan 22, 2025

CVS Health is seeking a Back-End Pharmacy Technician with Omnicare. The role involves ensuring medication needs and regulatory standards are met for patients, working in various workstations to grow skillsets, and focusing on order fulfillment in a closed-door pharmacy setting. Responsibilities include packaging and dispensing medication, reviewing delivery orders, coordinating stock rotations, and performing physical inventories. The ideal candidate should be certified/licensed/registered pharmacy technician, have 1+ years of experience, and preferably have prior experience in long-term care or pharmacy settings. The pay range is $16.00 - $26.21. Benefits include medical, dental, vision, 401(k), life insurance, disability benefits, well-being programs, education assistance, CVS store discount, and PTO.

Store Associate

Company: CVS Health

Location: Spring House, PA

Posted Jan 22, 2025

Client Executive, MLF

Company: Thomson Reuters

Location: Philadelphia, PA

Posted Jan 22, 2025

Pharmacy Technician

Company: CVS Health

Location: Harrisburg, PA

Posted Jan 22, 2025

Sr QC Technician

Company: Thermo Fisher Scientific

Location: Bethlehem, PA

Posted Jan 22, 2025

Catering Service Worker

Company: Sodexo

Location: Allentown, PA

Posted Jan 22, 2025

Lead Data Analyst, Customer Experience (Remote)

Company: Rentokil Terminix

Location: Harrisburg, PA / Remote

Posted Jan 22, 2025

The text describes a job opportunity at Rentokil, a global leader in pest control and related services. The role involves leading the development and maintenance of solutions related to customer experience data, including analytical reporting, business trends, and predictive modeling. The successful candidate will work closely with data architecture teams to ensure data quality and governance. Key responsibilities include data mining, collection, and interpretation, as well as building analytic systems and predictive models. The ideal candidate should have at least seven years of experience in data science, advanced knowledge of statistical and analytical methods, and proficiency in tools like R, Python, SAS, PowerBI, and Tableau. The company offers a comprehensive Total Rewards Program, including professional growth opportunities, health benefits, and a work-life balance.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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