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FOCUS is seeking a senior Lead, Data Analytics to drive analytics strategy across P&C insurance operations within its Data & Technology division. You will translate complex business questions into rigorous analytical work, mentor analysts, and deliver scalable insights that inform underwriting, claims, and client experience.
The role emphasizes building models, dashboards, and self-service reporting for executive audiences, while partnering with data engineering to ensure data quality and
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 we're 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' Group's 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.
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.
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.
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.
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.
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 (Monday - Friday); occasional flexibility required to meet project deadlines or collaborate across time zones.
This position is not able to be performed in California, Colorado, New York or Washington.
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. We’re a leader in the space. We foster ongoing innovation. You get all the benefits of a growing and fast-paced company, while enjoying a very entrepreneurial culture. The team is really motivating. You’ll work with people who are as energetic, smart, and determined as you are. You’ll be managed by the best, too. Your work will be immediately impactful. You’ll be able to see your direct impact on our growth. You won’t be just another cog in the wheel. We embrace change. This is not where you'll find ‘predictable’. Our team wears many hats and has to go with the flow to deliver on our goals and get the job done. We are a team of collaborators. We work together to ensure the best possible solutions for our internal teams. It is common for us to get outside our swim lanes. Our environment provides continuous learning. Team members often have to branch out of their comfort zone. Taking ownership is an opportunity and we believe failures might lead to a better solution. Consisting of a team of talented, experienced, and trusted professionals that have been serving the property and casualty insurance industry for more than 75 years, Team Focus Insurance Group has a history of financial stability, growth through innovation, and constant progress. When you join Team Focus, you immediately become one of our most valued components. That means you can look past the paycheck and excellent benefits to an environment that will help you grow and accomplish your professional goals and objectives through teamwork. Our “3L” philosophy is designed to help all our team members: Learn something new every day; Laugh every day; and Love what you do and who you do it with. This philosophy makes for stronger individuals and, in turn, a stronger team. It also makes certain that Team Focus can deliver on a collaborative vision of being the best we can be for our customers, our partners, and our people. If you have an interest in joining a true team, one in which individual members thrive and build on the success of the whole, it’s time for us to talk.