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Company | Wealthsimple |
Address | Canada |
Employment type | FULL_TIME |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-08-07 |
Posted at | 10 months ago |
Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.
- Using decision science to understand the cause and effect of our business decisions
- Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
- Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
- Partner with our Sales team to support some of Wealthsimple’s highest priority efforts
- Take ownership and ship itTeach and learn from your teammates. We value making others successful
- Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Build data models in cloud data warehouse that will be used as the source of truth for analytics across the sales organization
- Translate business requirements into data models that will help stakeholders answer key business questions and inform strategic decisions
- Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained
- Act as a key liaison between the Data Science team and the Sales teams including Sales Strategy and Operations, Business Development, Portfolio Management and Wealthsimple Work; this is inclusive of introducing best practices and continuously raising the bar
- Excellent interpersonal skills and experience in highly collaborative environments
- Proficient understanding of data warehousing methodologies and concepts (Kimball, Inmon, etc)
- Excellent SQL skill
- Knowledge of another programming language e.g. Python is a plus
- Experience with a cloud data warehousing (Snowflake, Bigquery, Redshift)
- Experience working as part of a data team; either a data analyst, data scientist, or data engineer
- Experience with dbt
- Comfortable with software engineering best practices like version control and using Git
- Fivetran or Stitch for data extraction and loading as Plus
- Excellent communicator who is able to translate business requirements into data models and maintain clear
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