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Senior Analytics Engineer

Fastly LogoFastly
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The Analytics team is building a modern data stack to cultivate data-driven decision-making across our high growth business. We are looking for a Senior Analytics Engineer to join our Analytics team, who is inquisitive, curious, and passionate about solving complex business problems with analysis. This role will provide the opportunity to work closely with business partners and build KPIs, dashboards, pipelines, and exploratory analysis to empower a data-driven culture across the company.

What You'll Do

  • You’ll collaborate and partner with executives, stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs.
  • You’ll identify KPIs driving business growth and performance and work closely with the business teams to define them.
  • You’ll work across the data stack to design and build various data products (data models, dashboards, analysis) that enable the business to make data backed decisions.
  • You’ll help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy.
  • You’ll promote and drive a self-service data culture by building easy to use analytics products and teaching the business users how to use them.
  • You’ll communicate progress, risks, and completion of projects to stakeholders.

What We're Looking For

  • You have 5+ years of hands-on experience in BI or Analytics teams.
  • You have hands-on experience in building and managing data transformations (dbt experience is a plus)
  • You are able to craft functional and user-friendly data products (data models, dashboards, etc..) for both technical and non-technical stakeholders..
  • You have experience with cloud data warehouse technologies (BigQuery is a plus).
  • You have experience with a data visualization tools (ie. Looker, Tableau, Mode)
  • You are a SQL expert, capable of complex, efficient, and logical SQL to accomplish data analysis goals.
  • You are driven by logical and analytical thinking to solve problems. And have an eye for detail-oriented analysis and design.
  • You have functional knowledge of financial, sales, or other core business metrics.
  • You are able to manage professional relationships across a variety of stakeholders, including executives.
  • You are able to identify and prioritize multiple requirements and manage expectations accordingly.
  • You are collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed.

The estimated salary range for this position is $113,200 to $166,500.

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