Business Intelligence Analyst

Glean Glean · Enterprise · Data

This role is for a Business Intelligence Analyst at Glean, an AI-powered knowledge management platform. The analyst will be responsible for surfacing data-driven insights, building and maintaining dashboards for marketing, sales, and finance, owning the BI tool, and partnering with Data Engineering to improve BI solutions. The role requires strong SQL skills, experience with BI tools, and familiarity with Salesforce and B2B SaaS environments.

What you'd actually do

  1. Be a fully hands-on individual contributor. You will work on surfacing useful data driven insights, own analytical frameworks and continuously improve data foundations for BI to steer Glean’s success.
  2. Build dashboards to meet the most recurring needs of Marketing, Sales and Finance partners, iterate on them based on XFN feedback and maintain them.
  3. Own our BI tool and drive necessary migrations of dashboards from other tools, undertake net new dashboards.This will include training and elevating colleagues outside of the data group to consume/develop Sigma dashboards in meaningful ways.
  4. Foster and engage with citizen analysts from Sales, Sales Operations and Systems to inform decision making at scale.
  5. Provide one-off data-oriented analyses on high priority & urgent questions to help make Glean’s GTM/Finance operations more effective, e.g. analyse revenue and customer growth over time, deal cycles, sales funnel drop offs

Skills

Required

  • SQL
  • BI tools (Metabase, Tableau, PowerBI, Qliksense)
  • Salesforce data model
  • B2B SaaS experience
  • Experience working with marketing, sales, finance
  • Executive communication experience
  • Marketo
  • Google Analytics

Nice to have

  • Bachelors/Masters degree in a quantitative field, e.g. business, economics, data science
  • 6+ yrs of work experience in business intelligence or analytics

What the JD emphasized

  • Proficient in SQL that you’re able to up-level other SQL users around you
  • Able to work with short timelines with as few back and forth as possible across large time zone differences