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Analytics Engineer

Flock Safety LogoFlock Safety
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Salary

$125,000 - $150,000

Location

Remote

Posted

Yesterday

As an Analytics Engineer you will own end-to-end analytics solutions from definition, to data architecture, to data visualization, with the goal of stream lining single source of truth insights for our business in an analytics as code environment. It is your job to possess radical ownership, drive impact to our business stakeholders, and walk the line between a technical owner and business partner.

The skillset

  • BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience.
  • 5+ years of proven experience as an analytics engineer, business intelligence engineer, or data analyst.
  • Ability to communicate and drive end to end data solutions for complex and abstract problems.
  • All-star SQL skills (Redshift a strong plus).
  • Experience implementing data modeling best practices in an enterprise data warehouse.
  • Expertise in building business intelligence and reporting solutions (Sigma experience a strong plus).
  • Familiarity with DBT and GIT, as well as working with Data Engineering and Data Architecture organizations.
  • Prior experience with Salesforce and working directly with Revenue, Sales, Customer Success, or Finance teams is a strong plus.

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.

90 days at Flock

We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe to 90 day plans and believe that good days, lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.

The first 30 days

  • Know our tools, customers, and data.
  • Contributing to our existing Finance and Revenue data models.

The first 60 days

  • Owning design and build out of net-new Accounting and Billing data models.
  • Supporting Revenue reporting and ad hoc requests.

90 days and beyond

  • Accounting and Billing data models deployed and in production.
  • Financial leadership reporting built on your models in flight.
  • Grown to own support of Customer Support data products.

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