Data Analytics Manager - Insights

We are looking for a Data Analytics Manager – Insights to lead a team responsible for turning complex data into clear, actionable recommendations for senior leaders, internal business partners, and external client audiences. This is a hands-on leadership role for someone who can guide analysts, work directly in the data, shape ambiguous business questions, and deliver trusted insights that influence decisions. What will be my duties and responsibilities in this job? You will lead a small team of analysts whose work supports business performance, client relationships, operational strategy, and executive-level decision-making. You will balance people leadership, analytics delivery, stakeholder prioritization, and the continued modernization of the team’s reporting and insight capabilities. Lead analytics delivery and decision support Lead analytical projects end to end, including problem framing, project planning, data discovery, analysis, validation, insight development, and recommendation delivery. Translate open-ended business questions from internal leaders and client-facing teams into a clear analytical approach, data plan, and measurable answer. Use data to identify trends, root causes, risks, opportunities, and performance drivers across business operations, client portfolios, and strategic priorities. Present complex findings to senior leaders and external client audiences in plain language, with a clear “so what,” recommended actions, and business implications. Own the quality of what leaves the team, including accuracy, reconciliation, reproducibility, documentation, and consistency of every number shared with clients or executives. Lead, coach, and develop the team Lead, coach, and develop a team of analysts, setting clear goals, expectations, priorities, and standards for quality and delivery. Provide regular feedback, conduct performance and development conversations, and help analysts grow their technical depth, business judgment, communication, and stakeholder impact. Review analytical approaches, SQL, data models, dashboards, and recommendations to raise the level of the work, not just check completion. Manage workload and capacity across competing priorities, assigning work based on business value, urgency, skills, and development opportunities. Support hiring, onboarding, retention, and talent development across the broader Data Analytics organization. Build scalable analytics practices, governance, and platforms Drive standardization, automation, and reuse of recurring reporting, dashboards, semantic models, datasets, and analytical assets so the team spends more time on insight and less time on manual assembly. Advance data modeling, metric definition, documentation, quality controls, and governance best practices across Power BI, Microsoft Fabric, and related analytics environments. Partner with Data Engineering, IT, Security, business teams, and other analytics groups to ensure solutions are scalable, secure, well-documented, and production-ready. Establish practical standards for data privacy, access controls, testing, release readiness, issue resolution, and responsible use of AI-assisted analytics tools. Identify opportunities to modernize legacy reports, reduce duplication, improve performance, and increase adoption of trusted, governed self-service analytics. Manage stakeholder intake and grow analytics impact Own intake and prioritization for the team’s work, making tradeoffs visible and aligning requests to business value, urgency, capacity, and leadership priorities. Proactively engage internal and client-facing teams to identify analytical needs before they arrive as requests and shape them into high-value use cases. Stay current with trends in insurance, protection and support services, analytics, BI technology, Microsoft Fabric, and responsible AI adoption, bringing forward what is worth testing or scaling.   What will success look like in this role? In your first 90 days You