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Sr. Analytics Engineer

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As a Sr. Analytics Engineer on our Analytics Engineering and Data Warehousing team, you will be responsible for developing the core service that provides data to the entire enterprise. You will be responsible for building the data models that form the basis of our most important operational and strategic data-driven decisions. Working closely with our internal business teams, you will build and help maintain a data warehouse platform that provides timely, accurate, and reliable data to thousands of users.

Primary Responsibilities:

  • Build relationships with data analytic teams and business leaders to understand their goals, initiatives, and the data solutions they need.
  • Help design, build, and maintain an enterprise data warehouse platform with its associated data models and data transformation pipelines.
  • Implement best practices and innovative solutions to provide timely, accurate, & reliable data.
  • Help in implementation of a high performing data warehouse platform (Snowflake) servicing thousands of users and a broad set of use cases.
  • Constantly evaluate and optimize deployment of data architecture to achieve greater efficiency and reliability.

Required Qualifications:

  • Must have a passion for data and helping the business turn data into information and action.
  • 3+ years of data modeling and data warehousing development experience (SSIS, dbt, Matillion, or similar).
  • Expert in SQL and the principles data warehouse design.
  • 2+ years of professional experience with cloud data warehousing technologies (Snowflake or Redshift).
  • 2+ years of experience with Git and code reviews.
  • Ability to initiate, design, and deliver robust data solutions.
  • Ability to communicate effectively with business leaders and engineers to focus on the highest impact opportunities. You exhibit great judgment and sharp business instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs.

Required Education:

  • BA/BS or higher in Computer Science, Information Systems, Math, other technical field, or relevant work experience.

Nice-to-Have Experience:

  • Experience with Tableau or similar data visualization tool.
  • Experience with AWS or Azure product offerings and platform.
  • Experience with SSIS.
  • Knowledgeable in scripting languages (python, .net, R, etc).
  • Experience with MPP systems.
  • Experience with SFDC, Five9, Genesys, or Workday data.

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