Senior Analytics Engineer

Who you are

• 3+ years of work experience as an analytics engineer or full stack data analyst
• You are experienced in SQL, with an emphasis on writing performant code
• You are a data modelling expert, and have designed schemas before at previous organizations, ideally using dbt
• You have a strong comprehension of data warehouses and the modern data stack
• You have a track record of delivering projects, including datasets that were used to drive key business outcomes
• You can self-serve by building ELT pipelines and reverse ETL pipelines using off-the-shelf tools, or simple DAGs in Airflow leveraging python
• You have experience leveraging tools for data governance, data quality testing, and documentation
• You can clearly communicate about technical subjects to non-technical people, and behave as a liaison between Business, Engineering, and Analytics
• Ideal but not required: You have experience in accounting or finance

What the job involves

• 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
• Bi-annual performance & compensation reviews
• Generous equity options
• 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
• Permanent remote flexibility
• Work-from-home allowance
• Office in Toronto