BI Data Engineer

Credible-posted 5 months ago
Mid Level
101-250 employees
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Our Business Intelligence team is looking for a BI Data Engineer III who is passionate about data, analytics, and business strategy. You will help the team learn more about our business, teach others in the company about analytics, and improve the use of our data. You’ll be an integral part of providing data-driven insights that inform significant company decisions.

  • Build data pipelines and python-based ETL tools for getting, processing, and delivering data.
  • Develop and optimize data models/schemas in our data warehouse that enable performant, intuitive analysis.
  • Generate end to end reporting solutions (from data ingestion to dashboards).
  • Work with business leaders to define key metrics and reporting requirements.
  • Conduct in-depth data analyses that improve infrastructure and product performance.
  • Become an expert on all aspects of Credible’s data and analytics infrastructure.
  • Be the driving force behind the adoption and effective use of our BI tool within every team at Credible.
  • BA/BS in a quantitative field.
  • 3-5+ years of work experience as a data engineer, or in a highly analytical role.
  • Experience writing SQL queries and using a BI tool.
  • Experience with programmatic scripting using Python to develop ETL pipelines and tooling.
  • Experience using the command line and git.
  • Strong grasp of statistics and experience conducting rigorous data analyses.
  • Experience developing models and visualizations in Looker a plus.
  • Experience at an e-commerce or fintech company is a plus.
  • The capacity to juggle multiple priorities effectively within a fast-paced environment is critical.
  • You’re a highly motivated self-starter with the ability to work efficiently with minimal supervision.
  • Anticipate business needs and think with a business owner mindset – think critically about analyses, don’t just complete them.
  • Passion for spreading the value of data throughout the company and communicating insights to a broad audience with varying levels of technical expertise.
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