Sr Manager Data Analytics

Embrace Pet Insurance•Cleveland, OH

45d•$138,639 - $173,300•Hybrid

About The Position

Embrace Pet Insurance, a subsidiary of Independence Pet Holdings, is seeking a Senior Manager, Data Analytics to lead its enterprise analytics function and serve as the organization’s internal analytics consulting leader. The role oversees enterprise reporting, business intelligence, strategic analysis, executive decision support, and analytics enablement across business functions. It is a hybrid position based in the company’s Cleveland, Ohio office. The Senior Manager will lead and develop a team of analytics professionals and partner with executive leadership and department stakeholders to turn data into actionable business insights. The role will shape enterprise reporting strategy, advance self-service analytics, foster a data-driven culture, and position analytics as a strategic business partner. Its scope includes Power BI modernization, marketing analytics support, team leadership, executive reporting, 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.
3+ years of people leadership experience managing, developing, and mentoring analytics, business intelligence, or reporting teams.
Demonstrated experience leading enterprise analytics initiatives supporting multiple business functions.
Advanced Power BI expertise, 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, including the ability to translate complex analytics into clear business recommendations.
Experience in the insurance industry or supporting insurance-related analytics functions.
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 focused 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 in 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 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 in Power BI, ensuring consistency, usability, and adoption across business functions.
Lead, coach, develop, and mentor analytics professionals by setting clear expectations, building technical and business acumen, and fostering a collaborative, high-performance culture.
Advise business leaders across the organization, helping departments identify opportunities, answer critical business questions, and use analytics to make informed decisions.
Develop executive dashboards, performance reporting, and strategic analyses to support leadership decisions and organizational performance management.
Partner with marketing leadership to provide analytics, customer insights, performance measurement, and growth-focused reporting for acquisition, retention, and customer experience initiatives.
Expand self-service reporting, improve data accessibility, and establish practices that help business users use analytics confidently and effectively.
Collaborate with Data Engineering, Data Science, IT, and business stakeholders to improve data quality, reporting infrastructure, accessibility, and analytics effectiveness.
Conduct and oversee analyses that identify trends, opportunities, risks, and business drivers, translating findings into actionable recommendations.
Establish reporting standards, visualization best practices, and governance frameworks to improve consistency, trust, and adoption of enterprise analytics.
Champion a data-driven culture by increasing analytics adoption, influencing business decisions, and helping stakeholders incorporate data into strategic planning and daily operations.