Manager Analytics (Insurance & Restoration)

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: About The Role As the Manager Analytics you will lead the Analytics Support team to serve customers across the property insurance and restoration industries. You will act as a strategic partner to leadership and a technical mentor to your team of analysts. In this high-impact role, you will define our analytical roadmap and shape our Go-To-Market (GTM) strategy, collaborating closely with Engineering, Product, and Operations teams. You will drive data-driven decision-making by developing methods and models that improve business performance for internal and external stakeholders. Your leadership will be critical in advancing our analytical capabilities, standardizing processes, and ensuring data assets are transformed into valuable insights that guide the industry into the future. Core Deliveries and Responsibilities Define the data analytics strategy and governance frameworks to ensure documentation, code changes, and reporting standards are maintained. Lead, mentor, and hire a high-performing team of analysts, providing regular performance feedback and technical guidance to foster their professional growth. Partner with senior stakeholders to translate complex business questions into detailed measurement plans, KPIs, and actionable intelligence. Oversee the implementation and optimization of the full data stack, including data source from Snowflake, modeling in PowerBI, and managing change control via GitHub. Propose and execute strategic analytical initiatives that directly address core business challenges and drive measurable company objectives. Manage project timelines and resource allocation effectively to balance long-term proactive initiatives with urgent ad-hoc business requests. Evangelize analysis methodologies and data visualization best practices to raise the standard of data literacy across the organization. Present complex insights and recommendations to executive leadership and diverse audiences with clarity, ensuring data tells a compelling story. Collaborate with cross-functional teams to understand their strategic needs and identify opportunities to enhance internal data offerings. Job Qualifications: Essential Capabilities and Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. Requires 7 years of professional experience in data analytics with a significant portion spent in a senior or leadership capacity. Proven experience managing or mentoring a team of data analysts, including hiring and performance management. Demonstrated expertise in Power BI for creating reports and dashboards, including data modeling and visualization. Expert knowledge of DAX for calculated columns and measures, and Power Query for transforming data. Advanced proficiency in SQL with the ability to write complex queries and optimize performance. Technical proficiency in Python and C# for data analysis and automation tasks. Experience es ... (truncated, view full listing at source)