Senior Analytics Engineer

• 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 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