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Data Analyst

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  • Design, build and launch efficient & reliable data pipelines, systems, and tools to enable faster consumption and understanding of data.
  • Partner with marketing, decision science, research and product organizations to understand analytic needs, and build efficient and scalable data solutions that support our marketing work—planning, execution, and measurement.
  • Develop ETL processes, ad hoc reports, and models to support marketing decision-making. Analysis areas might include (but not limited to): retention, lifetime value, messaging, promotions, usage, and engagement.
  • Build data expertise and own data quality for the Product Marketing organization.
  • Manage the delivery of high impact dashboards, reports, and data visualizations that track key metrics and performance trends, and provide actionable insights to product marketing leadership.
  • Work across multiple teams in high visibility roles and own the solution end-to-end. 


  • Tableau expertise.
  • Experience/familiarity using Python for data pipeline automation. 
  • PHP and web design experience helpful but not required.
  • Proficient in advanced Excel and intermediate SQL. 
  • Detail oriented execution style.
  • Exceptional at multi-tasking and problem solving. 
  • Fast learner & Self- Starter Excellent written and verbal communication.

Minimum Qualifications:

  • 2+ years experience with data and analytics is a must.
  • 3+ years of experience in data analysis.
  • 2+ years experience with SQL (Oracle, Vertica, Hive, etc.) and object-oriented programming languages.
  • 2+ years experience with Tableau or other visualization tools.
  • 2+ years experience with data warehousing, schema design, dimensional data modeling.
  • 2+ years experience in custom ETL design, implementation and maintenance.
  • Communication skills, including the ability to identify and communicate data-driven insights.
  • Ability and interest in managing and communicating data warehouse and marketing infrastructure plans to internal clients.


  • BE/BTECH/MCA degree (preferred) with a strong academic record
  • An advanced degree in computer science, engineering, statistics, economics, behavioral or social science, or a related quantitative or technical field.
  • BA/BS in Computer Science, Statistics, Math, Physics, or other technical field.

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