Performance Analytics Consultant

making and accountability by supporting strategic initiative execution, resulting in revenue growth and/or increased profitability. As a true partner to their Business and Data Science & Analytics colleagues, they will leverage the power of data and analytics to support the pursuit of Middle and Large Business' objectives.

This successful candidate will execute on a wide array of reporting, deep-dive analytics, diagnostics, and root cause problem solving to help drive the Performance Analytics roadmap forward. Other responsibilities may include collaboratively executing on bodies of work with other organizations such as Data Science and Engineering, Business Intelligence, Asset Ownership, Actuarial, Finance, Information Technology, and other project-related organizations.

This role will have a Hybrid work schedule, with the expectation of working in an office (Hartford, CT , Columbus, OH, Chicago, IL or Charlotte, NC) 3 days a week (Tuesday through Thursday).

The Ideal Candidate

• Is curious, analytical, and eager to understand how Middle and Large Underwriting and Operations work

• Demonstrates strong SQL skills and confidence in independently sourcing and transforming data

• Demonstrates a working knowledge of Python

• Demonstrates a clear desire to incorporate various types and levels of analytical techniques to accomplish their bodies of work

• 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 open and curious to learn new analytical and technological skills, including, but not limited to, additional coding language and Agentic AI-related platforms

Responsibilities

• Business Understanding & Performance Insight
  • Analyze key KPIs and performance trends, identifying meaningful shifts and diagnosing underlying causes
  • Support monthly routines for reporting and analytics
  • Tackle ad-hoc questions with a clear understanding of the data as well as the business context and story, enabling data-driven decision making for our business partners
• Cross**-**Functional Partnership
  • Develop an understanding of Data Science solutions and other technologies that support and transform Sales and Distribution and Middle and Large Underwriting
  • Partner with and support Data Engineering professionals to ensure data quality and shared understanding of data assets
• Data & Analytics Execution
  • Independently source, transform, and validate data using SQL; maintain proactive communication with engineering partners on data quality and structure
  • Independently execute on reoccurring routines as well as ad-hoc analytical/reporting-based requests
  • Conduct analyses to identify meaningful patterns and insights, leveraging a number of different analytical techniques and tools
• Communication & Influence
  • Present insights and recommendations through polished PowerPoint materials tailored to varying technical and leadership levels
• Data Governance & Operational Excellence

  • Combine and reconcile data from multiple sources, developing a strong understanding of Middle and Large 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

Qualifications

• Working Proficiency in SQL, with experience in Snowflake and Oracle

• Working knowledge of Python for analytical and automation tasks

• Knowledge of Data Warehousing/Relational Databases

• Strong written and verbal communication skills

• Self - motivated; can work independently and in teams

• Bachelor's degree required, preferably in Data Analytics, Statistics, Finance, Economics, Mathematics, Business, or a related quantitative field

Preferred Qualifications

• Experience with visualization tools such as Power BI / Tableau, development experience

• Knowledge of Generative and Agentic AI solutions

• Familiarity with Agile practices

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.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$78,800 - $118,200
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age