Analytics Engineer

Industry: Retail
Company size: 251-10K

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Job description

A NASDAQ-listed company that is on a mission to bring the thrill and sense of community of boutique fitness into homes, is looking for an Analytical Engineer. The engineer will report to the Senior Manager and will be in charge of data analytics and forecasting to expedite and maximize subscription growth across all marketing channels. The company is developing a dynamic fitness platform that will change fitness through live and on-demand boutique studio lessons. The company has successfully managed to secure more than $1.7bn in funding so far. This position requires 8+ hours of overlap with the EST time zone and can lead to full-time opportunities. 


Job Responsibilities:

  • Create and manage the fundamental data infrastructure required for expanding and scalability of the acquisition marketing initiatives
  • Take ownership of a sizable amount of the marketing data from beginning to finish, including data intake, transformation, and visualization, as well as the design of the data architecture, to guarantee exceptional operational reliability and adaptability
  • Combine technical capabilities with business knowledge and communication abilities
  • Build a data architecture that meets business demands by collaborating with internal stakeholders to comprehend the business context.
  • To provide highly accurate and trustworthy business reporting, design, construct, and maintain crucial data pipelines and dashboards
  • Ensure SLAs are satisfied by supervising daily work execution and diagnosing/fixing problems with internal stakeholders
  • To guarantee that business requirements and ETL logic are compatible, identify data discrepancies, and maintain clear, up-to-date code
  • Own data import/export pipelines
  • Improve the data model and ETL code to increase pipeline effectiveness and data quality
  • Create and maintain new and existing Explores and Views to add to the Looker data models

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Math, or Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as an analytics engineer
  • 3+ years of experience in technical data analytics, business intelligence, or analytics engineering position
  • Extensive knowledge of SQL and ETL optimization methods, particularly in relation to cloud-based data warehouses like Redshift, Snowflake, and/or BigQuery
  • Knowledge of the command line and version control software (Git) 
  • Knowledge of data pipeline management tools with dependency checking, like Airflow, as well as schema design and dimensional data modeling tools (dbt) 
  • In-depth knowledge of data visualization tools, like Looker or Tableau 
  • Extensive experience with LookML Development and AWS ecosystem, including Redshift 
  • Demonstrable experience working with Python, the AWS ecosystem (Redshift, S3, Spectrum), and data ingestion technologies (Fivetran, Stitch, Alooma, or Matillion)
  • Ability to demonstrate tools, business intelligence, and attention to detail for data validation and QA
  • High level of motivation to be proactive and go above and beyond the task at hand
  • 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)
  • Excellent communication skills, especially when explaining technical or sophisticated matters to less technical coworkers
  • Prior experience converting business needs into technical specifications to produce accurate, scalable, and performant data models
  • Fluent in spoken and written English communication skills

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