- 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- Collaborative 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 processesBenefits- 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 allowanceYou 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 financeYou have a solid comprehension of data warehouses and the modern data stackYou can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and AnalyticsYou have a track record of delivering projects, including datasets that were used to drive key business outcomesYou have experience leveraging tools for data governance, data quality testing, and documentationYou are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbtYou are experienced in SQL, with an emphasis on writing performant code#J-18808-Ljbffr

📌 Junior Analytics Engineer - Remote (Toronto)
🏢 Avison Young
📍 Toronto