The Associate Director of Sales Analytics – Health Systems will lead the development and advancement of analytics supporting the Screening Business Unit's health system, IDN, and key account organization, translating complex data into actionable insights to shape health system engagement strategy.
Locations (2)
Palo Alto, California, United States
Colorado, United States
Compensation
Primary Location Base Pay Range: $200,900 - $276,250. Other US Location(s) Base Pay Range: $170,765 - $234,813. If the role is performed in Colorado, the pay range for this job is: $180,810 - $248,625
Responsibilities
Own and execute the health system sales analytics strategy and roadmap
Serve as a strategic advisor to Health System Sales Leadership and executive stakeholders
Lead strategic initiatives such as health system and IDN white space analysis, opportunity sizing, and account prioritization frameworks
Develop data-driven business cases, scenarios, and recommendations for health system expansion
Build and deliver executive-ready dashboards, QBR materials, and strategic readouts
Requirements
Bachelor's degree in Business, Marketing, Economics, Statistics, Data Science, Public Health, Healthcare Administration, Analytics, or a related field
Nice to have: Master's degree in Business Administration, Business Analytics, Data Science, Statistics, Public Health, or Healthcare Administration
As a Data Science intern, you will have an impact on PayPal’s products all around the world and you will have the opportunity to gain hands‑on experience and exposure to the world of data science.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: San Jose, California | ($32 - $55 Hourly)
Responsibilities
Analyze large, complex datasets to identify trends, explain business performance, and develop actionable recommendations.
Partner with product, engineering, and data teams to define success measures, improve data quality, and support reliable analytics.
Design and evaluate analyses and experiments to inform product decisions and business priorities.
Communicate findings clearly to technical and non-technical stakeholders, including senior leaders.
Manage multiple projects and deliver high-quality work in a fast-paced environment.
Requirements
Bachelor’s or master’s degree in computer science, software engineering, or a related technical field
Lead Data Analyst responsible for building and leading a team of analysts, defining KPI frameworks, and driving data-driven product decisions in the Conversational Experiences Department.
Responsibilities
Lead, coach, and develop a team of Data Analysts and Senior Data Analysts
Support hiring and organization planning for the analytics group
Set the group's standard for analytical rigor
Own how the product organization measures success
Direct the team's analysis through exploratory studies, hypothesis validation, and experiment results
Requirements
Bachelor's or Master's degree in a quantitative field like Computer Science, Engineering, Statistics, or Mathematics
Nice to have: BigQuery or Databricks
Nice to have: Experience scaling an analytics function
Nice to have: Experience in the customer communication as a service (CCaaS)
Nice to have: Experience in communications technology or AI-driven product space
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