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Capsule // pharmacy delivery
 
New York    Posted: Thursday, October 10, 2019
 
   
 
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JOB DETAILS
 

About Us

Capsule is rebuilding the $425 billion pharmacy industry from the inside out with an emotionally resonant experience, & technology that enables customized outcomes for doctors, hospitals, insurers, & manufacturers. Our team makes the same promise to each other as the one weve made to our customers, doctors, & partners: everybody needs some looking after sometimes. Well never lose sight of the fact that behind all the craziness of the healthcare system, were just people looking after other people. Capsule has raised over $250 million from TCV, Thrive Capital, Glade Brook Capital, and The Virgin Group.

About the role

  • The Data Analyst is responsible for helping to ensure the efficiency of Capsules Pharmacy Workflow Automation team, identifying areas for improvement, & building both long term & ad hoc solutions. The ideal candidate will have a strong technical, analytical, & operational background. SQL & Python proficiency is required

You will

  • Apply your technical expertise to help solve, inform, influence, support, & execute our Workflow Automation business decisions
  • Use tools & programming languages like R, Python, Excel, SQL & many other internal tools to work efficiently at scale\
  • Maintain SQL used to drive self-service tools, & recommend opportunities for improvement
    Create & iterate on solutions & dashboards to empower operational & exploratory analysis
    Document requirements with stakeholders, & partner with other teams on broader changes to core business solutions
  • Effectively communicate with external clients & internal teams to deliver solutions in a timely fashion
  • Respond to (or triage) any & all requests related to workflow data with minimal guidance or oversight

About you:

  • BA/BS in a field that emphasizes data analysis & visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent work experience
  • 3+ years experience with SQL (or similar language aimed at querying relational databases)
  • 3+ years of experience working with data visualization tools
  • Experience with Excel (e.g. formulas, charting, etc.)
  • Experience with data management, specifically with validating & auditing data & reports from multiple systems
  • Experience manipulating large data sets through statistical software or other methods
  • Experience initiating & driving projects to completion with minimal guidance
  • Experience processing & analyzing data sets, interpreting them for making business decisions
  • Experience communicating the results of analyses with product & leadership teams to influence the overall strategy of the product
  • Experience knowing when a question requires reporting on data vs. statistical analysis
  • Experience exercising judgment & discretion

Bonus Points:

  • 2+ years of experience with R, Python, or a similar scripting language
  • The ability to have effective conversations with clients about their support needs & requirements
  • Enjoys working primarily onsite in a team-oriented environment & highly motivated to provide a positive user experience
  • Experience exercising professionalism & customer service skills
  • Experience working in a fast-paced & demanding environment
  • Experience working with Looker
 
 
 
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