Lead Data & Analytics P&C Insurance

Company Overview

FOCUS provides cloud-based core administration solutions (FOCUS Tech) and services (FOCUS Insurance Services) for P&C insurance companies and MGAs. Using decades of industry experience FOCUS is taking the risk out of insurtech for small mid-size and growth-focused insurance organizations.

When you join FOCUS you immediately become one of our most valued components and were committed to investing in you. That means you can look beyond the paycheck and excellent benefits to an environment that will help you grow and achieve your professional goals through development and advancement opportunities and the support of our outstanding leaders and teammates.

The Lead Data Analytics plays a critical role within FOCUS Groups Data & Technology division driving the strategic use of data to inform business decisions improve operational efficiency and enhance client outcomes. This senior individual contributor leads complex analytics initiatives serves as a subject matter expert across data domains and acts as a key liaison between data engineering business stakeholders and executive leadership.

The ideal candidate is an analytically rigorous business-savvy professional with deep expertise in Property and Casualty(P&C) insurance environments. They excel at translating ambiguous business questions into structured analytical frameworks mentoring junior analysts and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced collaborative environment and is passionate about harnessing data to drive meaningful outcomes.

Analytics Strategy & Insight Generation 30%

• Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting claims distribution and client experience.
• Develop advanced statistical models segmentation analyses and predictive frameworks to surface trends from large complex datasets.
• Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement.
• Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity.
• Synthesize findings into clear compelling narratives for both technical and non-technical audiences.

Data Modeling Reporting & Visualization 30%

• Architect and maintain scalable data models and pipelines in collaboration with data engineering teams.
• Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g. Power BI Looker).
• Write complex SQL queries and leverage Python/R for statistical analyses automation and ad hoc investigations.
• Document data definitions methodology and analytical logic to ensure reproducibility and organizational knowledge transfer.
• Evaluate and implement new analytics tools and technologies to improve team efficiency and capability.

Stakeholder Collaboration & Business Partnership 25%

• Partner with business leaders in Sales P&C Underwriting Operations and Finance to translate needs into analytical project plans.
• Facilitate requirements-gathering sessions and proactively manage expectations around timelines scope and deliverables.
• Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions.
• Serve as a subject matter expert for data governance data definitions and analytical best practices across the organization.
• Collaborate with IT and data engineering on infrastructure priorities ensuring analytics requirements are represented in the roadmap.

Team Leadership & Mentorship 15%

• Provide guidance code review and technical mentorship to junior and mid-level analysts on the team.
• Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines.
• Champion a culture of data-driven decision-making and analytical rigor across the organization.
• Contribute to hiring onboarding and professional development efforts within the analytics function.

• Required: Bachelors degree in Statistics Mathematics Computer Science Economics Business Analytics or a related quantitative field.
• Preferred: Masters degree (MBA MS in Data Science Analytics or related discipline).
• Preferred: Relevant certifications such as Google Data Analytics or AWS Certified Data Analytics.

• Required: 6 years of progressive experience in data analytics business intelligence or a related role with at least 2 years in a lead or senior capacity.
• Preferred: Experience in the insurance financial services or healthcare industry.
• Preferred: Prior exposure to agency management systems policy administration platforms or insurance data warehouses.
• Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles.

• Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows.
• Expertise with BI and visualization tools such as Power BI or Looker.
• Proven ability to build and communicate complex analyses to executive and non-technical audiences.
• Strong understanding of data modeling data warehousing concepts and ETL processes.
• Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment.
• High emotional intelligence with demonstrated ability to influence without formal authority.
• Knowledge of insurance products terminology and regulatory environment is a strong plus.

This role does not carry formal supervisory responsibility. However the Lead Data Analytics is expected to provide informal mentorship technical guidance and project leadership to junior and mid-level analysts within the team.

Travel: Minimal; up to 10% travel may be required for team meetings conferences or client visits.

Work Hours: Standard business hours (MondayFriday); occasional flexibility required to meet project deadlines or collaborate across time zones.

Why join the FOCUS Team

The FOCUS Difference:

• Medical Dental Vision Life Pet; Flexible Spending Account

• Competitive Salaries

• 401K Match

• Work-Life Balance: Personal Days PTO Days 12 Paid Holidays Two Paid Days for Volunteer Service Paid Parental Leave

• Short and Long-Term Disability

• Employee Support Programs Including Mental Health

• Tuition Reimbursement

• Matching Charitable Gift Program

• Lucrative Referral Program

• Commuter Benefits

• Flexibility: Remote and Hybrid Opportunities Available

This position is not able to be performed in California Colorado New York or Washington.

EEO

Team Focus Insurance Group is an equal opportunity employer that does not discriminate on the basis of race color religion sex (including pregnancy sexual orientation and gender identity) national origin age disability veteran status marital status or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.

Disability

Team Focus Insurance Group is committed to creating an inclusive and accessible workplace for all candidates including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process please contact our HR department at We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.

Note to applicant: It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. Please know that our company does not use lie detector tests in our hiring process.