Sr Manager Data Analytics

Embrace Pet Insurance•Cleveland, OH

2d•Hybrid

About The Position

Independence Pet Holdings, established in 2021, is a corporate holding company managing a diverse portfolio of pet health brands and services. Embrace Pet Insurance, a subsidiary of IPH, is seeking an experienced Senior Manager, Data Analytics to lead its enterprise analytics function. This hybrid role, based in Cleveland, OH, will oversee enterprise reporting, business intelligence, strategic analysis, and executive decision support. The Senior Manager will lead a team of analytics professionals, partner with executive leadership, and drive a data-driven culture to transform data into actionable business insights. The role encompasses enterprise reporting, analytics strategy, Power BI modernization, stakeholder partnership, team leadership, business intelligence, executive reporting, marketing analytics support, and collaboration with Data Engineering and IT teams.

Requirements

Bachelor's degree in Business Analytics, Statistics, Economics, Marketing, Data Science, Computer Science, or a related quantitative discipline.
8+ years of progressive experience in analytics, business intelligence, reporting, or decision support functions.
3+ years of people leadership experience managing, developing, and mentoring analytics, business intelligence, or reporting teams.
Demonstrated experience leading enterprise analytics initiatives that support multiple business functions rather than a single department.
Advanced expertise with Power BI, including enterprise reporting strategy, dashboard development, and visualization best practices.
Experience partnering with executive leadership and senior stakeholders to influence strategy and business decisions through data-driven insights.
Strong stakeholder management, communication, presentation, and consulting skills with the ability to translate complex analytics into clear business recommendations.
Experience working within the insurance industry or supporting insurance-related analytics functions.
Demonstrated ability to manage multiple priorities, balance competing business demands, and drive outcomes in a fast-paced environment.
Strong analytical, problem-solving, and strategic thinking capabilities with a focus on measurable business impact.

Nice To Haves

Master's degree in Analytics, Data Science, Statistics, Business Administration, Economics, Computer Science, or a related discipline.
Experience within Property & Casualty, Pet Insurance, or broader insurance organizations.
Experience supporting marketing analytics, customer analytics, retention analytics, or growth-focused business functions.
Proficiency with Azure, Databricks, SQL, or modern data platform environments.
Experience implementing self-service business intelligence programs, reporting modernization initiatives, or data governance frameworks.

Responsibilities

Lead the organization's enterprise analytics function and establish a scalable reporting and analytics strategy aligned with business objectives and organizational priorities.
Oversee the development, enhancement, and governance of enterprise reporting solutions within Power BI, ensuring consistency, usability, and adoption across business functions.
Lead, coach, develop, and mentor a team of analytics professionals by establishing clear expectations, building technical and business acumen, and fostering a collaborative, high-performance culture.
Serve as a trusted advisor to business leaders across the organization, helping departments identify opportunities, answer critical business questions, and leverage analytics to drive informed decision-making.
Develop executive dashboards, performance reporting, and strategic analyses that support leadership decision-making and organizational performance management.
Partner with marketing leadership to deliver analytics, customer insights, performance measurement, and growth-focused reporting that support acquisition, retention, and customer experience initiatives.
Expand self-service reporting capabilities, improve data accessibility, and establish best practices that empower business users to leverage analytics confidently and effectively.
Partner closely with Data Engineering, Data Science, IT, and business stakeholders to improve data quality, reporting infrastructure, accessibility, and analytics effectiveness throughout the organization.
Conduct and oversee advanced analyses that identify trends, opportunities, risks, and business drivers while translating findings into actionable recommendations.
Establish reporting standards, visualization best practices, and governance frameworks that improve consistency, trust, and business adoption of analytics across the enterprise.
Champion a data-driven culture by increasing analytics adoption, influencing business decisions, and helping stakeholders incorporate data into strategic planning and daily operations.