
Senior Decision Scientist – Retail Operations
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Massachusetts.
• Utilize data, analytics, and business insights to facilitate strategic decision-making and enhance operational excellence within Retail Operations.
• Collaborate with business stakeholders, product teams, and technical teams to convert intricate business inquiries into analytical solutions and actionable insights.
• Assist in data validation initiatives.
• Oversee multiple projects and coordinate deliverables among stakeholders.
• Create executive-level presentations and communications.
• Convey analytical results to both technical and non-technical audiences.
• Act as a liaison between business and technical stakeholders while advancing projects amidst uncertainty.
• Ensure that data-driven products and insights are precise, impactful, and aligned with business goals.
• A minimum of 3 years of experience in analytics, decision science, business intelligence, reporting, data science, consulting, or a related discipline.
• At least 3 years of experience crafting SQL queries for data validation, analysis, and troubleshooting.
• Proven experience in managing cross-functional projects and coordinating deliverables across various stakeholders.
• Experience in developing presentations and communications tailored for business and leadership audiences.
• Capability to articulate technical concepts and analytical conclusions to business partners and leadership audiences.
• Skill in crafting engaging, data-driven narratives and executive-level PowerPoint presentations.
• Ability to prioritize and manage multiple tasks and deadlines in a dynamic environment.
• Bachelor’s degree or equivalent professional experience in Mathematics, Statistics, Data Science, Business Analytics, Economics, Engineering, Computer Science, Information Systems, or a related quantitative field.
• Familiarity with large and intricate datasets from various business and technology platforms and/or SQL and analytics, visualization, or reporting tools.
• Experience with Agile methodologies and tools like Jira.
• Background in Retail, Healthcare, Consumer Analytics, or other extensive operational environments.
• Medical coverage.
• Dental coverage.
• Vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs.
• Additional resources promoting physical, emotional, and financial well-being.
• Eligibility for CVS Health bonus, commission, or short-term incentive programs.
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