Remote Senior Performance Analytics Consultant

The Hartford

Chicago (IL)

Hybrid

USD 94,000 - 141,000

Full time

3 days ago

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Job summary

The Hartford in the United States is seeking a Senior Performance Analytics Consultant to evaluate operational and financial performance, identify trends, and deliver insights that drive confident business decisions in Claims Solutions.

You'll partner with Claims leaders, Data Science, Product, Actuarial, and Transformation teams to transform complex data into actionable reporting and self-service analytics, with a focus on storytelling and executive-ready recommendations.

Qualifications

Bachelor’s degree preferred; experience in data analytics, performance analytics, business intelligence, or operational analytics preferred.
Degree in business Analytics, Statistics, Mathematics, or related field experience is a plus.
Experience in claims or insurance preferred.
Demonstrated ability to extract, clean, integrate, analyze, and validate data from multiple sources, including large datasets.
Strong familiarity with analytics and visualization tools such as Snowflake, SQL, Tableau, Excel, ThoughtSpot, Power BI, Python, or similar tools.
Strong reporting and KPI design skills, including the ability to define, visualize, and explain metrics aligned to strategic goals.
Ability to frame business problems, question assumptions, evaluate evidence, and generate data-backed insights that are accurate, decision-ready, and grounded in business context.
Strong communication and storytelling skills, with the ability to tailor insights for executive, technical, and operational audiences.
Proven ability to build partnerships, influence without formal authority, and collaborate across Claims, Product, Actuarial, Operations, Data Science, or Transformation teams.
Comfort working in ambiguity, managing multiple priorities, and adapting as business needs, tools, and processes evolve.
Understanding of Agile is a plus.

Responsibilities

Analyze Claims Solutions results to identify trends, outliers, root causes, risks, and opportunities across operational and financial performance in areas such as Staff Legal, Special Investigation Unit, Central Recovery and Reinsurance.
Partner with leaders and stakeholders to clarify business questions, define KPIs, prioritize analytics opportunities, and translate customer needs into actionable requirements.
Develop dashboards, scorecards, reporting exhibits, and self-service analytics that support performance management, risk detection, and executive decision-making.
Use structured analytical thinking, hypothesis-driven analysis, and appropriate statistical methods to evaluate trends movement, support hypotheses and recommendations.
Connect claims results with broader business, operational, industry, market, and macro trends to help leaders understand context.
Present complex findings clearly to non-technical and executive audiences, using strong data storytelling, visual design judgment, and business-friendly language.
Collaborate with data engineering and analytics partners to improve data accessibility, quality, governance, and repeatability of reporting solutions.
Lead work independently without formal authority, manage multiple priorities, and help partners move from insight to action.