- 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 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 straightforward 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

📌 Senior Analytics Engineer (Toronto)
🏢 super
📍 Toronto