We are looking for a Senior Analytics Engineer to join our growing Data & Analytics team! As a Sr. Analytics Engineer at Super.com, you will evolve our foundational data infrastructure to primarily support our finance department You will own the analytics infrastructure for these products end-to-end — from data ingestion, to reporting, to activation — ensuring high data quality and availability for our data sets You will work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures As a senior member of the team, you’ll promote strong standards throughout the organization and help level-up team members through the adoption of software engineering best-practices Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making Data Management: You will ingest, clean and organize raw data in a way that makes sense for both you and the team Project Management: You will lead data projects from ingestion to reporting, showing your experience to oversee, scope, and work with ambiguity, making uncertainty certain Team-oriented Actualization: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design Data Strategy: You will help shape the data model at Super, which will advance our broader analytics strategy and build trust within the organization Teamwork:



You will work with key stakeholders to understand existing processes and collaborate to design and implement improved and automated processes Benefits

Competitive base salary Yearly learning & development allowance Generous equity options Bi-annual performance & compensation reviews RRSP & 401k employee contribution plan Health, dental, & vision insurance on day one Parental leave programs Wellness reimbursement Supplemental Life Insurance Unlimited PTO (yes, really!) Recharge days throughout the year Office in Toronto Permanent remote flexibility Work-from-home allowance You can self-serve by building ELT pipelines and reverse ETL pipelines using off-the-shelf tools, or simple DAGs in Airflow leveraging python3+ years of work experience as an analytics engineer or full stack data analystIdeal but not required: You have experience in accounting or finance You have a strong comprehension of data warehouses and the modern data stack You can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and Analytics You have a track record of delivering projects, including datasets that were used to drive key business outcomes You have experience leveraging tools for data governance, data quality testing, and documentation You are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbt You are experienced in SQL, with an emphasis on writing performant code

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📌 Senior Analytics Engineer (Winnipeg)
🏢 super
📍 Winnipeg