You Are
Proactive. You take full ownership of your domain and drive action independently.
Insightful. You generate meaningful, data-driven insights that fuel decision-making.
Collaborative. You work closely with cross-functional stakeholders to solve complex problems and improve processes.
Technical. You have a strong command of data engineering, visualization, and analytical tools.
You Will
Take ownership of the Business Intelligence domain, surfacing insights, solving problems, and driving data-driven decisions
Partner with stakeholders in product, sales, and operations to ensure data quality, availability, and effective usage
Manipulate and transform large datasets using SQL and scripting languages to generate impactful business insights
Design, execute, and analyze A/B tests and other experiments to optimize strategies
Apply data science fundamentals to build predictive models and trend analyses
Develop scalable data models, dashboards, and reports using tools such as Domo
Continuously improve data pipelines, infrastructure, and analytical capabilities
Mentor colleagues to enhance analytics capabilities and foster a data-driven culture
Who You Will Work With
This role reports into Director of Performance Optimization Analytics of the and collaborates cross-functionally with Product, Sales, Operations, and Data Engineering teams. You will also work closely with senior leadership to support key strategic initiatives.
Must Have’s
2+ years of experience in Data Warehousing and Business Intelligence
Advanced SQL skills and experience with relational databases (e.g., Snowflake, Redshift, Oracle, SQL Server)
Strong experience in ETL/ELT development and data pipeline management
Proficiency in scripting languages (e.g., Python, JavaScript, Java, Scala)
Strong foundation in data modeling, governance, and structuring datasets for long-term use
Expertise in data visualization and dashboarding (Domo preferred)
Advanced spreadsheet skills (Excel, Google Sheets)
Self-starter with strong problem-solving and strategic thinking capabilities
Nice to Have’s
Experience working with Looker or DOMO specifically
Understanding of cloud-based data architectures and security best practices
Experience creating and implementing data governance strategies
Background in data science or machine learning application
Familiarity with API integrations and automation techniques
What We Offer
Competitive pay
Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
Immediately vested 401K (US) or RRSP (Canada) with company match
Paid Vacation, Personal, and Sick Time
Paid maternity and paternity leave (US)
Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
Robust Employee Assistance Program
Employer paid Leap into Service Day to volunteer
Tuition Reimbursement for eligible programs
Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
Company culture of internal promotions, diverse career paths, and meaningful advancement
Sound like a match? Apply Now - We can't wait to hear from you!