ShyftLabs is hiring a
Senior Analytics Engineer

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ShyftLabs

πŸ’΅ ~$144k-$185k
πŸ“Remote - Canada

Summary

Join our team at ShyftLabs as a Senior Analytics Engineer! We're looking for someone with great technical skills and interpersonal skills to work alongside enterprise clients. The ideal candidate will have experience in data, retail/e-commerce, CRM/Marketing Analytics, and Machine Learning models.

Requirements

  • 5+ years of experience in data and a minimum of 2+ years of retail/e-commerce experience
  • CRM/Marketing Analytics experience is a must-have
  • Has a Bachelor’s or Master’s Degree in Science, Technology, Engineering, or Mathematics related discipline
  • Client-facing experience and exposure to Executive level stakeholders is a must-have
  • Experience developing Machine Learning models is a must-have
  • Has worked on Cloud Data warehouses such as Snowflake Or BigQuery
  • Experience with SQL, Python, R, and Looker
  • Experience in distributed source control such as GIT in an Agile-Scrum environment (Airflow experience is a plus)

Responsibilities

  • Design quality technical solutions to meet client business objectives
  • Developing and testing data models to capture clients KPIs and data transformations
  • Working with our stakeholders to develop end-to-end Cloud-based solutions with a heavy focus on applications and data
  • Contribution to the vision, understanding our product roadmap, integrating business value with experience, and contributing towards building an engineering culture within the team
  • Delivering highly reliable software and data pipelines using automation, version control, continuous integration, testing, and security that will aggregate the reporting metrics needed in a Retail Data Platform
  • Ensure consistency in delivering quality solutions
  • Resolve and identify technical issues continuously
  • Teach and learn new technologies and tools within the industry

Preferred Qualifications

  • Client-facing experience is highly desired
  • Ability to make a difference and lasting impact
  • Can identify ways to improve data quality and reliability
  • Is aligned with the latest data trends or inconsistencies to simplify the data insights
  • Has excellent verbal and written communication skills
  • A commitment to teamwork with excellent interpersonal skills is essential

Benefits

  • Competitive salary
  • Strong healthcare insurance and benefits package
  • Fully remote work within Canada

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