Data & Analytics Solutions Consultant Quorum Drive Suite , Dallas, TX

Come join our team!

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people 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 spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.

Our core values are:
Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!

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

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.

Your work spans the full delivery cycle: translating broker and BA requirements into technical specifications, architecting data pipelines, building Python Dash applications and maintaining the critical data & analytics infrastructure. By operationalizing intelligent dashboards and actuarial models, you create best self-service experience and provide client-ready deliverables accelerating operational efficiency and increasing sales velocity for the enterprise.

If you are a hands‑on builder with creative imagination, comfortable leveraging modern development tools including AI‑assisted coding environments to produce production grade codes, love troubleshooting and solving problems, and understand actuarial intricacies of the business
, you will thrive in this role!

• 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 in collaboration with actuaries, data scientists, and claims analysts.
• 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 variety of solutions.
• Working with change management leads, create adoption plans, training materials, and feedback mechanisms for every tool shipped.

• Python/Dash:
  Expert‑level proficiency for application development, data pipelines, statistical modeling, API development, and application logic — this is your primary tool
• Database:
  Deep SQL expertise with relational and columnar environments; comfort with large underwriting, loss and related data domains.
• Actuarial & Data Science:
  Working knowledge of…