Sr Mgr, Business Analytics

CVS Health•Phoenix, AZ

9d•$75,400 - $165,954

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The Senior Manager of Business Analytics leads the department by providing strategic leadership and oversight for data-driven decision-making and program effectiveness. In addition, the Senior Manager develops and implements comprehensive data collection and analysis strategies. They will lead the measurement and evaluation of programs, oversees the creation of impactful reports and visualizations, provides strategic recommendations based on data insights, fosters collaboration with stakeholders, ensuring data governance and compliance, and driving continuous learning and skill development within the team. The Senior manager of Business Analytics manages and optimizes analytics processes, leveraging data for strategic planning, and guiding teams in delivering actionable insights to drive business outcomes.

Requirements

7+ years of experience in business analytics, data analysis, financial acumen or relatable experience.
3+ years of experience developing, deploying, or supporting analytics solutions within cloud-based data and analytics environments.
2+ years of direct or indirect experience in Data Governance and/or Data Quality program roles
Proven experience translating business requirements into scalable, timely, and accurate data and reporting solutions.
Experience supporting enterprise-wide analytics, reporting, and data-driven decision-making initiatives.

Nice To Haves

Certified Analytics Professional (CAP) preferred.
Expertise in data preparation, statistical analysis, predictive modeling, and advanced analytics utilizing Python, R, SAS, Dataiku, or similar analytical platforms
Strong understanding of statistical methods and their business applications
Demonstrated ability to translate complex data into clear narratives for non-technical audiences
Excellent communication, presentation, and stakeholder management skills
Experience managing competing priorities across multiple projects and stakeholders
Adept at execution and delivery (planning, delivering, and supporting) skills
Adept at business intelligence
Adept at collaboration and teamwork
Mastery of problem solving and decision making skills
Mastery of growth mindset (agility and developing yourself and others) skills

Responsibilities

Leads a team of analysts to develop data-driven insights to provide accurate reports to executive-level management, stakeholders, and team members to ensure continuous growth and development of the business.
Collaborates with cross-functional teams to identify opportunities for improvement initiatives driven towards the organization's goals and critical deliverables.
Creates and maintains dashboards and reports that provide insights into key performance indicators that support the organization's continuous improvement initiatives.
Decides when to leverage data to support strategic decision-making to achieve the organization's goals and critical deliverables for business growth and continuous improvement.
Creates and executes advanced analytics solutions in conjunction with the organization's critical deliverables to ensure improvement initiatives are successful.
Manages and prioritizes multiple projects simultaneously, ensuring the key deliverables are within the scope of parameters, driving consistent business success.
Ensures data accuracy and integrity for reports provided to executive-level management, stakeholders, and other individual contributors, driving successful operation of the department and company towards achieving its goals and key deliverables.
Build, and execute the Data Services, Reporting, and Analytics technology roadmap aligned to our organizational objectives.
Collaborate with internal and external stakeholders to identify information needs and develop sustainable solutions that support data-driven decision-making.
Support a common analytics platform that integrates disparate data sources and eliminates information silos.
Develop and implement reporting strategies, standards, and initiatives to support operational, tactical, and strategic business objectives.
Actively Participate in Data Governance, Data Stewardship, and Data Quality initiatives to ensure enterprise data integrity, consistency, and reliability.