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Data Analyst (9021762)

Instagram is a global community of more than 1 billion, which means jobs here offer countless ways to make an impact in a fast-growing organization. Instagram was built to connect people to the people and interests they love. Our app has played a critical part in forming meaningful communities where people can connect with each other and share what matters most to them.

Instagram is seeking a temporary worker to support our Partnerships team, working within Partnerships Analytics. The Partnerships team works with the leading content creators in the world, in entertainment, sports, news, and other verticals. This role entails using SQL to pull queries from our internal database, helping internal stakeholders understand how to use and interpret data from internal dashboards, confirming that data requests comply with our data policy, and responding to and aggregating data requests into common use cases so that the team can understand which new pipelines or metrics are needed. The role may also include generating pipelines and new data structures that will enable easier dashboard creation in the future, as time allows.

The role will work within the Partnerships Analytics team and is based in San Francisco, CA.

Responsibilities
Primary

  • Query data and provide reports/query results to stakeholders
  • Manage requests and priorities independently
  • Provide documentation of queries/inbound for future data infrastructure builds and future requirements

Secondary

  • Improve existing dashboards by adding new metrics to support Partnerships and other teams within the company
  • Communicate with internal stakeholders about dashboards, and provide support about which metrics are available and from where
  • Understand existing data policy restrictions and determine if queries are possible to run/share
  • Ability to work in a high-pressured environment
  • Ability to juggle and prioritize multiple requests
  • Ability to communicate complex data issues to audiences of different levels of technical expertise  

Minimum Qualifications

  • SQL proficiency; 2+ years of experience pulling data independently using SQL
  • Experience working independently

Preferred Qualifications

  • Experience building out large data sets and pipelines
  • Python or similar scripting experience

A Bachelors, Masters or PhD degree in one of the following areas: Engineering, Computer Science, Mathematics or Physics.

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