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Business Intelligence Analyst

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My client's mission is to give people the power to share, and make the world more open and connected. Through their growing family of apps and services, they're building a different kind of company that helps billions of people around the world connect and share what matters most to them. Whether they're creating new products or helping a small business expand its reach, people here are builders at heart. Their global teams are constantly iterating, solving problems, and working together to make the world more open and accessible. Connecting the world takes every one of them—and they're just getting started. 

They are seeking an experienced Business Intelligence Engineer to join their Data Insights team within Recruiting. Recruiting is a core strategic driver of their success. They have a world-class team working together to help drive their ambitions and scale to the next level. This role will participate in the design and development of innovative analytics and data visualizations that will help them find, grow, and keep the talented people that make them awesome. Ideal candidates will have deep technical skills to complement their analytical experience and will be comfortable working with complex data warehouses. They will be independent, innovative and excited about creating impact for Recruiting operations and strategy. 


  • Develop data products and analytics to empower operational and strategically driven analyses in partnership with the Data Insights team 
  • Be an internal technical consultant on automation, data querying and the people data model to the Data Insights team 
  • Develop deep understanding of the people data model – write queries and manage data transformation to enable analytics and reporting 
  • Help analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives 
  • Build rich and dynamic dashboards using out-of-box features, customizations, and visualizations 
  • Build fully automated dashboards, reports and analytics 
  • Monitor the integrity and validity of the data reported; address data integrity issues and work to solve root cause process or systems issues 
  • Partner with the Data Insights, US based Engineering teams and Recruiting management to improve operating efficiencies/effectiveness through automated data solutions/products 
  • Go beyond building products and visualizations; proactive approach to understanding the challenges and strategy of the Recruiting team to facilitate the delivery of impactful data products and visualizations. Willingness to support data measurement approaches (e.g. best way to define metrics/KPIs and approach advanced analytics) 


  • Proven track record of using data analyses to impact business processes 
  • Ability to effectively communicate the results of analyses to a non-technical audience 
  • 3 years + of business intelligence and data warehouse experience 
  • Demonstrated experience creating dashboards in d3.js, Angular.js or a similar visualization tool 
  • Demonstrated experience creating dashboards in visualization software (e.g. Tableau or similar) 
  • Demonstrated experience in utilizing SQL to extract and manipulate data from data warehouses 
  • Bachelor's in Computer Science, Statistics, Math, Engineering, Business, or other quantitative field 
  • Minimum of 2 years experience wrangling production datasets in relational databases (SQL/PLSQL/Hive) 
  • Ability to develop complex SQL based queries and demonstrable experience of using SET operators
  • Ability to self-start and independently identify and act on priorities in an ambiguous and fast paced environment 

Preferred Qualifications 

  • Experience in HR, Recruiting, or Operational Analytics 
  • Demonstrated experience in utilizing R, Python, or comparable to develop analyses 
  • 2 years+ developing data visualizations and solid knowledge of visualization principles/design 
  • Experience with presenting ‘data products’ or communicating data insights yielded from products to a management/leadership audience 
  • Experience in applying statistical analyses or advanced analytics to produce data insights with measurable outcomes (e.g. regression models, factor analysis, decision trees or equivalent).

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