Analytics Engineer

Analytics Engineer

This job is no longer open

The Role

We’re seeking exceptional analytics engineers excited to scale their knowledge of data modeling and schema design to hundreds of companies. As an analytics engineer in a product organization, you will be tasked with understanding our customers’ needs and the transformations that will be deployed as part of Preql’s core engine.

What we're looking for

  • You have strong opinions about data modeling, live in your text editor, and love to push SQL to the limits
  • You’re a skilled collaborator, excited to partner with folks on the product, design, and engineering  side of the business
  • You love tackling complex problems and getting creative when developing solutions
  • You’ve had experience writing SQL transformations for D2C brands (nice to have)

Responsibilities

  • Own a core portion of our SQL backend and provide key determinations on technical architecture
  • Collaborate with software engineers, product managers, designers, and analysts
  • Speak directly with customers alongside team members to understand and deliver solutions
  • Balance speed and quality with a focus on tangible results
  • Share knowledge, promote best practices, and collaborate with fellow engineers
  • Bind our services together while delivering testable, maintainable, and high-quality code

Qualifications

  • 3-5 years experience in an analytics engineering, data engineering, business intelligence, or technical data analytics role
  • Advanced expertise in SQL, SQL optimization techniques, experience with cloud-based data warehouses (Snowflake, BigQuery, Redshift), experience with data ingestion tools (e.g. Fivetran, Stitch), knowledge of common cloud service vendors and their data models (Stripe, Shopify, Google Analytics, Facebook Ads)
  • Experience with data pipeline management technologies, dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling
  • Ability to leverage tools, business intuition, and attention to detail for data validation and QA
  • Excellent communication skills, particularly when explaining more complex technical topics to business users
  • Proven record of shipping features on time and on budget
  • Self-starter and detail-oriented
This job is no longer open
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