clients 1871

Analytics Manager- Jellyvision


🇺🇸 USA Only

Job Type






Skill Set


Management and Finance

Job Details

The Analytics & BI team is responsible for exposing Jellyvision’s data to internal teams in a usable format, including modeling data from multiple sources and managing the tools that Jellyvision teams use to access that modeled data. This role will lead that team and manage a team of data analysts towards that goal.

What you’ll do

This role will help us make better decisions with data by identifying meaningful insight from a variety of sources, partnering with other teams to feed that into the data warehouse and managing the data modeling needed to get this data into the BI layer. More specifically you will:

  • Work with stakeholders from all parts of the organization to identify reporting needs and determine how to best solve those needs via data modeling, dashboards and ad hoc reports
  • Partner with our data engineering team to translate business stakeholder needs into technical requirements for data pipelines, including providing input on the decision making process of structuring our various data sources.
  • Model raw data in our data warehouse using SQL and translate it into an output that is usable in the BI layer.
  • Manage the BI layer (Looker), including handling user access, organizing reports/dashboards, and building new reports/dashboards as needed.
  • Develop data model standards for the team and a coherent approach to intake and prioritization of new projects.
  • Drive adoption of BI tools, including providing training as needed and analyzing report and dashboard usage to identify areas of low usage and proactively communicating with those teams to understand how the BI tools can better meet their needs
  • Handle inbound data requests from across the organization and address these in a timely manner.
  • Manage a team of data analysts to support all of the above.


  • 5+ years of BI, data analytics, or data science experience
  • Proficiency in writing analytical SQL and understanding the difference between SQL that works, and performant SQL. Most importantly, you can coach others to become proficient in this area
  • Experience working closely with stakeholders from multiple teams and translating their data-related questions into technical requirements for analysis
  • Exceptional communication skills, including translating technical and analytical approaches into stakeholder and customer communications
  • Experience managing others
  • Experience in the healthcare data space, including electronic medical records, insurance claims, or other health data would be a plus
  • Experience with HIPAA, PHI, and PII privacy practices would be a plus


  • Manages complexity
  • Decision quality
  • Develops talent
  • Directs work
  • Drives results
  • Ensures accountability

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