Data & Analytics Solutions Consultant Avenue Americas 8th Floor NY

1140 Avenue of the Americas, 8th Floor, New York, NY 10036

Come join our team!

EPIC Insurance Brokers & Consultants is one of the fastest-growing firms in the insurance industry. Driven by capable, committed people who share common values, EPIC is always looking for individuals who know what they want and aren’t afraid to make it happen.

Headquartered in New York City and founded in 2007, our company has over 3,000 employees nationwide. With locations across the U.S., we combine local market knowledge with industry expertise to support clients’ regional and global needs.

Our core values:

• Owner mindset
• Inspire trust
• Think big
• Drive results

Analytics Technology Solutions Lead — Commercial Insurance

A unique opportunity to join a specialization-driven, client-focused commercial insurance brokerage to develop and deploy analytics applications of the future!

JOB OVERVIEW:

We are looking for an Analytics Technology Solutions Lead (Data & Analytics Solutions Consultant) who builds things that influence insurance deal cycles. This is not a mere data engineering or infrastructure role. You will design, build, and deploy production-grade analytics applications that support placement decisions, benchmark limits and pricing, and give clients a clearer view of their risk across Commercial Lines and Employee Benefits.

By operationalizing intelligent dashboards and actuarial models, you create a best-in-class self-service experience, accelerating operational efficiency and increasing sales velocity for the enterprise.

We seek a hands‑on builder with creative imagination, comfort with modern development tools—including AI‑assisted coding environments—and a deep understanding of actuarial intricacies.

RESPONSIBILITIES:

• Design and lead full‑stack development of analytics applications using Python, Dash, and Fast API hosted on Databricks and Azure from architecture through production.
• Build broker‑facing UIs that are intuitive and produce client‑ready deliverables with limited analyst intervention.
• Operationalize statistical and actuarial models for loss trend analysis, frequency‑severity decomposition, and program pricing validation.
• Develop and maintain data pipelines and adapters that ingest, normalize, and quality‑check data from clients, carriers and third‑party sources.
• Apply CI/CD practices across both pipeline and application deployments and maintain governance and auditability standards appropriate for client‑facing work.
• Collaborate with data engineering partners on scalable architecture that supports growing benchmarking and modeling workloads.
• Partner with Business Analysts to translate brokerage workflows into application requirements and data architecture decisions.
• Engage directly with brokers and client executives to understand value of analytics in deal cycles and develop modular architecture for a variety of solutions.
• Work with change‑management leads to create adoption plans, training materials, and feedback mechanisms for every tool shipped.

WHAT YOU’LL BRING:

Core

Skills:

• Python/Dash:
  Expert‑level proficiency for application development, data pipelines, statistical modeling, API development, and application logic.
• Database:
  Deep SQL expertise with relational and columnar environments; comfort with large underwriting, loss and related data domains.
• Actuarial & Data Science:
  Working knowledge of building, evaluating, and deploying actuarial analysis and models.
• Cloud:
  Hands‑on experience with Databricks, Azure, or equivalent cloud data platforms for deploying and managing CI/CD pipelines.

Work Experience and

Education:

• 7+ years in the insurance industry (or equivalent experience in a data‑intensive financial services environment) focused on delivering data & analytics solutions.
• Bachelor’s degree in computer science or a quantitative engineering field;
  Master’s degree preferred.

Domain Expertise:

• Working knowledge of commercial lines insurance brokerage workflows and actuarial concepts such as underwriting, submissions, program towers, loss runs, exposure schedules, coverage terms, renewals, RFP cycles, loss development factors, IBNR, frequency‑severity, layer pricing, etc.
• Demonstrated experience working with Business…