Analytics Engineer

Industry: Recreation
Company size: 251-10K

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Job description

A NASDAQ-listed company developing an innovative platform for interactive fitness that will allow people to exercise through real-time and on-demand boutique studio lessons is looking for an Analytics Engineer. The selected candidate will be responsible for building data infrastructure that satisfies business needs. The company’s revolutionary workouts are tailor-made to fit the customers' needs, moods, goals, music styles, experience levels, and schedules. The company has managed to secure more than $1.6 bn in funding so far. This position requires 8+ hours of overlap with the EST time zone. 


Job Responsibilities:

  • Connect with relevant stakeholders to comprehend business needs 
  • Design, build, and maintain critical data pipelines and dashboards to ensure accurate and reliable business reporting
  • Monitor daily job execution and diagnose issues to ensure SLAs are met 
  • Identify data discrepancies and maintain clear and up-to-date code to ensure business requirements and ETL logic match
  • Make data model and ETL code improvements to improve pipeline efficiency and data quality
  • Contribute to the company’s Looker data models by creating and maintaining new and existing views
  • Own data import/export pipelines

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • A minimum of 3+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
  • Prior experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and/or Redshift
  • Demonstrable experience and familiarity with version control software (Git)
  • Experience with data pipeline management technologies with dependency checking, such as Airflow, schema design, and dimensional data modeling tools (dbt)
  • Extensive experience with data visualization technologies, such as Looker or Tableau
  • Experience in LookML Development
  • Experience with Python, data ingestion tools (such as Fivetran, Stitch, Alooma, or Matillion), and the AWS ecosystem (Redshift, S3, Spectrum)
  • Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA
  • Excellent English communication skills, particularly when explaining technical or sophisticated matters to less technical co-workers
  • Experience working with digital and offline media data (such as Facebook, Google, programmatic, TV, and streaming audio) 
  • Solid understanding of digital marketing measurement concepts (i.e., Multi-touch attribution)
  • Prolific experience in SQL and Redshift 
  • Experience in Git, Airflow, and DBT
  • Experience with Looker and 5tran for data ingestion 
  • Nice to have experience in Python 
  • Strong fundamentals around version control

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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