Data & Analytics Solutions Consultant

25 Deforest Avenue, Suite 203, Summit, NJ

Come join our team!

Analytics Technology Solutions Lead – Commercial Insurance

We are looking for an Analytics Technology Solutions Lead (Data & Analytics Solutions Consultant) who builds production‑grade analytics applications influencing insurance deal cycles. This role designs, builds, and deploys full‑stack analytics applications and data pipelines, operationalizes dashboards and actuarial models, and creates best‑in‑class self‑service experiences that accelerate operational efficiency and sales velocity.

• 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.
• 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.
• 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.

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

• 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 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.
• 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.

Base salary range: $ – $, exclusive of bonuses or benefits. Base pay will be determined based on experience, skills, training, certifications, and education, while also considering internal equity and market data.

• Generous Paid Time Off
  • Managed PTO for salaried/exempt employees (no 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.
• Generous employee referral bonus program of…