Senior Analytics Engineer

Super; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive base salary

Equity Options

RRSP & 401k contributions

Health, dental, vision insurance

Job summary

Super is seeking a Senior Analytics Engineer to join our growing Data & Analytics team. You will evolve our foundational data infrastructure to support our finance department and own analytics infra end-to-end from data ingestion to reporting.

You’ll work with business, engineering, and analytics teams to lay the foundation for scalable reporting, drive data governance and modeling, and promote engineering best practices across the organization.

Qualifications

• 5+ years in analytics engineering or data analytics roles.
• Strong SQL and data modeling skills.
• Experience with modern data stack and governance practices.

Responsibilities

• Own end-to-end analytics infrastructure from ingestion to reporting.
• Lead data projects and manage ambiguity to deliver actionable insights.
• Collaborate with Business, Engineering and Analytics teams to translate requirements into data schemas.

Skills

Analytics engineering

SQL

Data modeling

dbt

Airflow

Data warehousing

Data governance

Data quality testing

Cross-functional collaboration

Project management

Tools

Airflow

dbt

Job description

• 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