Life Insurance Jobs in Chicago, Illinois

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Senior Analyst

Company: Zeno Group

Location: Chicago, IL

Posted Jan 29, 2025

The Zeno Group is seeking a Senior Analyst to manage analytics strategy and performance reporting across digital paid media accounts. The role involves translating raw data into valuable business insights, working closely with PR and Digital teams, and leading client-specific projects. The ideal candidate should be data agnostic, willing to leverage information from various sources, and have experience in marketing analytics for paid media. Proficiency in web analytics packages, online ad serving systems, Tableau, Looker Data Studio, and Microsoft Excel is required. The candidate should be detail-oriented, have strong qualitative and quantitative skills, and be able to work independently and as part of a team.

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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