Analytics Product Engineer

Fortegra•Iselin, NJ

9h•$115,000 - $145,000•Onsite

About The Position

Join our Data Science team as an Analytics Product Engineer , where you’ll own stakeholder-facing analytics and reporting in a modern insurance data environment. This role sits at the intersection of business, data, and product. Balancing rapid response to real operational questions with the delivery of durable, high-trust analytics products. If you’re a strong BI practitioner who enjoys close stakeholder partnership, takes pride in data integrity, and knows how to ship insights, not just queries, this role is for you. What You’ll Do Serve as a trusted analytics partner to business stakeholders, translating ambiguous questions into pragmatic, timely insights while exercising sound judgment about when prototypes should evolve into durable, decision-ready reporting. Build analytics on a modern data stack , developing curated datasets in Snowflake and delivering high-impact BI through Power BI . Ensuring insights are fully traceable from source to dashboard. Own analytics products end to end , from design through delivery, ensuring dashboards and reports are intuitive, reconciled, well-documented, and trusted in high-visibility operational and strategic decisions. Act as a data evangelist and team catalyst , sharing work openly, celebrating others’ contributions, and helping raise analytics standards and data literacy across the team and broader business. The above-cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.

Requirements

Insurance or Financial Services Experience. A solid understanding of insurance business concepts and how they translate into reliable, decision-ready analytics and reporting.
Snowflake & Power BI Expertise (Required) . Hands-on experience building analytics solutions on Snowflake. Deep experience delivering polished, stakeholder-facing dashboards in Power BI.
Microsoft PL-300 (Power BI Data Analyst) certification required or equivalent demonstrated mastery of Power BI semantic modeling, DAX, and performance best practices.
Analytics Engineering & Judgment. Proficiency in SQL and Python within modern analytics environments, paired with strong judgment around when to move quickly versus when deeper validation is required.
Comfort with Ambiguity & Clear Communication. Ability to operate in imperfect data environments and clearly communicate assumptions, limitations, and tradeoffs to both technical and non-technical audiences.

Nice To Haves

Exposure to Databricks for ad-hoc analytics or analytics engineering workloads, including familiarity with Delta Lake concepts; Databricks Data Analyst Associate certification or equivalent experience is a plus
Prior ownership of a reporting or analytics domain within insurance or financial services
Background outside of data or analytics before transitioning into the field

Responsibilities

Serve as a trusted analytics partner to business stakeholders, translating ambiguous questions into pragmatic, timely insights while exercising sound judgment about when prototypes should evolve into durable, decision-ready reporting.
Build analytics on a modern data stack , developing curated datasets in Snowflake and delivering high-impact BI through Power BI . Ensuring insights are fully traceable from source to dashboard.
Own analytics products end to end , from design through delivery, ensuring dashboards and reports are intuitive, reconciled, well-documented, and trusted in high-visibility operational and strategic decisions.
Act as a data evangelist and team catalyst , sharing work openly, celebrating others’ contributions, and helping raise analytics standards and data literacy across the team and broader business.