Performance Analytics Consultant - Global Specialty

The Hartford•Hartford, CT

1d•Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Global Specialty (GS) Performance Analytics Consultant delivers the vision and strategy for data‑driven performance analytics across GS. They play a critical role in advancing a culture of insight‑led decision‑making, accountability, and strategic execution aimed at profitable, sustainable growth. As a strategic partner to Underwriting and related functions—including Product, Actuarial, Claims, Finance, and the Transformation Office—the analyst leverages data, analytical rigor, and clear communication to support the achievement of GS business objectives. The Performance Analytics (PA) team supports insights across a range of Global Specialty segments with U.S. and international presence, including Financial Lines, Primary & Excess Casualty, Property, Commercial Auto, Inland & Ocean Marine, Environmental, Bond, Livestock, Energy, and Credit & Political Risk. As a PA, you will support one of these segments in addition to a transformation value stream. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). The Ideal Candidate Is curious, analytical, and eager to understand how GS underwriting and operations work Demonstrates strong SQL skills and confidence in independently sourcing and transforming data Has working knowledge of Python Has experience with visualization and reporting tools (e.g., Power BI, Tableau) Understands or can quickly learn financial and operational performance drivers in specialty insurance Translates data into clear, compelling stories tailored to both technical and executive audiences Asks thoughtful questions, builds strong cross‑functional partnerships, and contributes to elevating analytics maturity Is motivated to grow into a value‑adding partner to GS Underwriting teams

Requirements

2+ years of SQL project work
1+ years of hands on work with Python for analytical and automation tasks
2+ years' experience with Power BI / Tableau or other visualization software
Strong written and verbal communication skills
Curiosity, creativity, and comfort navigating ambiguity
Strong Excel skills
Understanding of insurance performance concepts (rate, retention, loss trends)
Self‑motivated; can work independently and in teams
Openness to learning new tools & domain knowledge
Bachelor’s degree required, preferably in Data Analytics, Statistics, Economics, Mathematics, Business, or a related quantitative field
College‑level statistical knowledge
Candidate must be authorized to work in the US without company sponsorship.
The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Nice To Haves

Familiarity with Agile practices (preferred)

Responsibilities

Business Understanding & Performance Insight Develop a deep understanding of underwriting workflows, operational processes, and financial levers within your assigned GS segment.
Analyze key KPIs and performance trends, identifying meaningful shifts and diagnosing underlying causes.
Support routine monthly portfolio reviews across GS lines, including analysis of flow, KPIs, claims trends, underwriting behaviors, and insights from partner tools.
Create and enhance performance metrics and KPI frameworks, ensuring clarity, consistency, and alignment with business needs.
Cross‑Functional Partnership Partner with and support Business Intelligence professionals to enable clear, durable, and self‑serve dashboards for business partners.
Partner with and support Data Science professionals to help measure the success of their solutions.
Develop an understanding of Data Science solutions and other technologies that support and transform GS Underwriting.
Partner with and support Data Engineering professionals to ensure data quality and shared understanding of data assets.
Partner with and support Asset Owner professionals to ensure clear, accurate communication with stakeholders and proper documentation of work‑effort prioritization and requirements.
Data & Analytics Execution Independently source, transform, and validate data using SQL; maintain proactive communication with engineering partners on data quality and structure.
Build automated, repeatable analytical workflows using tools such as Python, Power BI, and Tableau.
Conduct statistical analyses (e.g., correlation and trend modeling) to identify meaningful patterns and insights.
Communication & Influence Synthesize analytical findings into concise, clear narratives for GS Underwriting leadership and partner teams.
Present insights and recommendations through polished PowerPoint materials tailored to varying technical and leadership levels.
Collaborate with Underwriting and cross‑functional teams to identify improvement opportunities and support execution of business strategies.
Data Governance & Operational Excellence Combine and reconcile data from multiple sources, developing a strong understanding of GS data assets, lineage, and quality considerations.
Build trusted working relationships with Underwriting, Product, Actuarial, Claims, and Finance through reliable analysis, open communication, and consistent delivery.
Respond to ad‑hoc analytical requests, providing clarity on definitions, methods, and drivers; offer guidance on KPI interpretation and visualization best practices.
Maintain strong, clear documentation of work‑effort progress and analysis activities.
Adhere to and promote strong agile practices.