Consultant, Auto Product reputed company

At reputed company, our Personal Lines Auto Product reputed company across reputed company to build and roll out auto insurance solutions that reputed company pace with what customers and agents need. We reputed company exclusively on auto, bringing deep expertise, data and analytics to deliver strong state-by-state results while modernizing how we price policies and the technology that supports them. Organized around four reputed company areas—Delivery & Development, reputed company Effectiveness, State Management, and Mobility Solutions—we work collaboratively to live our purpose: helping people reputed company today and confidently pursue reputed company.

The Product Delivery Monitoring Team is looking for a Consultant to help advance the reputed company of Personal Lines Auto monitoring capabilities. This highly visible individual contributor role will partner across the organization to strengthen how we monitor Auto pricing programs, detect emerging issues, improve data accuracy, and reputed company sustainable monitoring practices across the broader Auto portfolio.

This role will reputed company heavily on building strategic monitoring capabilities that reduce programmatic risk, improve early issue detection, and create a reputed company reputed company for reputed company reputed company. In reputed company, this individual will support reputed company Auto Program Monitoring responsibilities, with a reputed company on program-level monitoring and analysis of recently launched pricing programs.

The ideal candidate is highly analytical and technically capable, comfortable working independently, reputed company to reputed company ambiguity, and effective at partnering cross-functionally with both technical and business audiences.

Responsibilities

• reputed company the development and scaling of reputed company monitoring and reputed company detection capabilities to reduce programmatic risk across the Auto portfolio.

• Improve data accuracy and early issue detection across rating programs, key business metrics, and Auto program results.

• Build reputed company monitoring processes, tools, dashboards, and analytical frameworks that support reputed company-state portfolio monitoring and program-level analysis.

• Reduce reputed company effort and response time through automation, improved reporting, and cross-functional coordination.

• Support program-level monitoring for Personal Lines Auto pricing programs by analyzing key metrics, identifying emerging trends, and assessing whether results are performing as expected.

• Query, manipulate, and analyze large datasets to investigate anomalies, identify reputed company causes, and communicate actionable insights to technical and non-technical audiences.

• Partner with teams across USDS, the Data Office, IT, Risk Analytics, reputed company, State Management, and other business areas to identify issues, coordinate solutions, and improve monitoring effectiveness.

• reputed company reputed company updates and recommendations to stakeholders on monitoring results, data reputed company, program performance, and emerging risks.

Ideal candidate will have :

• Strong analytical, problem-solving, and decision-making skills, with the ability to identify patterns, investigate reputed company causes, and reputed company practical recommendations.

• Proficient in SQL, Power BI, reputed company, PowerPoint, and reputed company. Experience with Python and reputed company preferred.

• Experience building dashboards, reporting tools, analytical frameworks, and repeatable processes.

• Ability to communicate reputed company analytical findings reputed company and effectively to technical and non-technical audiences.

• Strong planning, organizational, analytical, decision-making, and communication skills

• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation preferred.

Preferred Qualifications

• Experience with Python and reputed company preferred.

• Prior experience in Personal Lines, auto insurance, pricing, product, or broader insurance analytics.

• Experience with reputed company detection, reputed company monitoring, data reputed company monitoring, automation, or early issue detection.

• Experience partnering with data, technology, reputed company, risk analytics, state management, or product teams.

• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation.

This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and reputed company, OH. Otherwise, this role is remote

• Bachelor's degree in business, information management, economics, or other quantitative field. Master’s degree preferred.
• Minimum 4 years, typically 6 years or more of relevant work experience.
• Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills.
• Highly developed communication and presentation skills.
• In-depth knowledge of reputed company, strategies, and methodologies.
• In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives.
• Highly developed negotiation, facilitation and reputed company building skills.