Data & Analytics Solutions Consultant
EPIC Insurance Brokers & Consultants
- United States
- United States
About
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.
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 the best self-service experience and provide client-ready deliverables that accelerate operational efficiency and increase sales velocity for the enterprise.
Hands-on builders with creative imagination, who are comfortable leveraging modern development tools including AI-assisted coding environments to produce production-grade code, love troubleshooting and solving problems, and understand actuarial intricacies of the business will thrive in this role.
Location Hybrid – at least 3 days a week in one of the EPIC offices, preferably San Ramon, CA (open to any of our office locations).
What You’ll Do
Design and lead full-stack development of analytics applications using Python, Dash, and FastAPI 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 the 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
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) in either brokerage, carrier, or consulting with a strong focus on delivering data & analytics solutions in a process-driven environment.
Bachelor’s degree in computer science or any quantitative engineering; Master’s degree is preferred.
Domain Expertise
Working knowledge of commercial lines insurance brokerage workflows and actuarial concepts: underwriting applications, submissions, program towers, loss runs, exposure schedules, coverage terms, renewals, RFP cycles, loss development factors, IBNR, frequency–severity, layer pricing, etc. or willingness and potential to learn.
Demonstrated experience working with Business Analysts to convert workflow requirements into application specifications.
Comfort operating within a change management framework where adoption is part of the solution development and not an afterthought.
Ability to present technical work to non-technical audiences: brokers, practice leaders, and client risk managers.
Familiarity with ACORD data standards or commercial lines data normalization.
Compensation The national average salary for this role is $150,000.00 - $200,000.00 in base pay, exclusive of bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications, and education, while also considering internal equity and market data.
Benefits
Generous Paid Time Off: Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days.
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave.
Employee referral bonus program of $1,500 per hired referral.
Employee recognition programs for demonstrating EPIC’s values plus additional awards and trips.
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group.
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support.
Additional benefits include 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs.
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment.
EPIC Gives Back – Charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation.
Ranked in the top 10 of property/casualty agencies according to “Insurance Journal.”
EEO Statement EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered helps us to deliver the best outcome to our clients.
Legal Statements California Applicants – View your privacy rights.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Languages
- English
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