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Senior Analytics Developer

Location
Canada Remote
Details
Full Time
A month ago

Our retail client is looking for an analytics developer to join their team in a permanent capacity. 

  • Permanent remote Analytics Developer role
  • High priority transformation work
  • Retail giant with a great work environment

What & Why:

You’ll be responsible to build and evolve the backbone of our reporting, automation and optimization initiatives. Ultimately, you’ll make it easier and faster for analytics teams to unlock the value of big data and help scale efficiently. You’ll work side by side with other Data Analysts, Data Scientists, and E-commerce and Technology Leadership as one team.  You will be deploying and operationalizing analytics products into production by taking an agile approach, starting from problem exploration, POC testing, and scaling.  You will also be designing data schemas and cloud-based workflows in R and Python for use in POC development and creating and evangelizing analytics best practices within the analyst community by adapting software engineering concepts. They are undergoing a significant digital transformation and are investing heavily in their analytics programs. This organization is highly agile and has fully embraced the distributed workforce model.  This role can be remote forever. 

Who:

This role can be remote forever and located anywhere in Canada. If you are located in Vancouver and would like an office to call home our client is moving to a new office located in Mount Pleasant with hotel seating.  This is an exciting time to join our client as they are embarking on an analytics journey and you will be able to help shape what that looks like for the organization. The product you will be working on has a very strong ROI and will be able to provide a lot of value back to the business. You will be a trusted advisor and have the ability provide a lot of guidance to the team on best practices.

You:

You will bring the following education, skills and experience to the role:

  • 3-5 years experience building pipelines with the Microsoft stack
  • Experience working with on-prem data. Experience transitioning to cloud will be seen as an asset, moving to Azure and using Azure Data Lake and eventually move to Snowflake
  • Experience with Machine Learning
  • Bachelors degree in Computer Science or related field or equivalent experience  

Next Steps:

If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.

Category
Software and Programming Information Technology