Sr Analytics Consultant, Personal Lines

Senior Data Analytics Consultant (HYBRID Worcester, MA or Howell, MI)

Worcester, MA, USA

Our Personal Lines State Management team is currently seeking a Senior Data Analytics Consultant for our Worcester, MA or Howell, MI location. This full‑time, exempt role is eligible for a Hybrid/Flex work arrangement.

POSITION OVERVIEW:

The Senior Analytics Consultant leverages data, analytics, and business insight to influence strategic decision‑making and drive positive business outcomes across Personal Lines. The role partners closely with business leaders, agent partners, and technical teams to translate complex data into actionable insight, develop proprietary analytical tools, and optimize performance aligned to the organization’s unique distribution and operating model.

This role requires strong analytical and technical capabilities, deep insurance expertise, and the ability to communicate, influence, and lead through data. The consultant operates with significant autonomy, bringing innovative thinking and creative problem‑solving to complex business challenges.

Key Responsibilities:

• Lead the development, enhancement, and execution of advanced analytics, reporting, and data‑driven tools supporting Personal Lines growth, profitability, and operational efficiency.
• Apply statistical methods, business intelligence techniques, and iterative data exploration to uncover trends, performance drivers, and opportunities for improvement.
• Design and maintain proprietary analytical tools and processes that serve as strategic differentiators, enabling agent optimization and business consolidation.
• Partner with business stakeholders to identify key questions or problems, translate them into analytical approaches, and deliver clear, actionable insights.
• Influence decision‑making by synthesizing complex data into compelling narratives tailored to executive, technical, and external audiences.
• Serve as a core analytics contributor and project lead on initiatives of large scope and moderate to high complexity, spanning multiple products, departments, or lines of business.
• Collaborate with technical resources (data engineering, IT, PBI teams) to ensure scalable, reliable analytics solutions.
• Take projects end‑to‑end—from conception and requirements gathering through delivery, evaluation, and refinement—ensuring alignment with business objectives.
• Monitor progress, evaluate results against success metrics, and make data‑driven recommendations to optimize outcomes.
• Communicate effectively with internal partners and external agent stakeholders, building trust and credibility through insight‑driven dialogue.
• Mentor and train less‑experienced analytics team members, elevating technical proficiency and analytical thinking across the organization.

WHAT YOU NEED

TO APPLY:

• 6+ years professional experience and a bachelor’s degree.
• Degree in Applied Data Science, Data Science, Information and Data Science, Management Analytics, Data Mining, or Predictive Analytics. Degrees in Statistics, Mathematics, Computer Science, or Information Systems are also preferred.

TECHNICAL

SKILLS:

• SQL, R, Python
• Statistical procedures & methods
• Strategic and critical thinking
• Consultative mindset
• Problem solving, visionary, inquisitive
• Good communicator, voracious learner, naturally curious

CAREER DEVELOPMENT:

We support your growth through on‑the‑job experiences, personalized coaching, and robust learning and development programs.

BENEFITS:

We offer comprehensive benefits to support your health, financial security, and work‑life balance.

Benefits include:

• Medical, dental, vision, life, and disability insurance
• 401(k) with a company match
• Paid time off (PTO)
• Cultural Awareness Day in support of IDE
• On‑site medical/wellness center (Worcester only)

The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information,…