Data Analyst

Data Analyst


  • Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of Cohesity’s products, users, and sales channels.
  • Build a thorough understanding of our data engineering infrastructure – including data dictionaries, field, and view mapping, and become empowered to perform complex analysis of the data located across multiple datawarehouses.
  • Own and build the dashboards that make metrics and key performance indicators and insights available to the entire company.
  • Work with data engineering teams to develop and implement new analytical tools and improve our underlying data infrastructure.
  • Run exploratory analysis uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity.
  • Help execute projects to drive insights that lead to an increase in the adoption of our products, increased customer success, retention, expansion, and profitability.
  • Monitor, optimize, and report on growth metrics and split-test results. Make recommendations based on analytics and test findings and work closely with marketing, product management, and engineering to drive results.
  • Effectively present and communicate analysis to the company leadership to drive business decisions.
  • Drive optimization and data-driven growth culture inside the company.

Skills Required

  • Minimum 3+ years of proven work experience in data analyst roles
  • Experience extracting insights using advanced SQL (must-have) and Python or similar (nice to have) to work efficiently at scale. Expert-level SQL knowledge is a must.
  • Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to a conclusion.
  • Must be self-directed, organized, and detail-oriented as well as have the ability to multitask and work effectively in a fast-paced environment.
  • Active team player, excellent communication skills, positive attitude, and good work ethic.
  • You come up with creative solutions to challenging problems

Skills Desired (Bonus)

  • Experience with data capture tools like Segment, engagement tools like Pendo/Amplitude/Intercom/equivalent, visualization tools like Tableau/Looker/redash/equivalent, and datawarehouses like redshift/snowflake/big-query/teradata/equivalent
  • Experience of R, PHP, Python or stream analytics tools like Spark, Kafka, etc. are a bonus
  • Experience working in a SaaS business is a bonus
  • Experience working at a high-growth startup is a bonus
  • BA or BS degree in a quantitative field such as economics, mathematics, statistics, or computer science/engineering.

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