We are seeking a Senior Business Intelligence Engineer who is solutions-oriented, proactive, and thrives in ambiguity. This individual will not simply respond to requests but will lead initiatives, identify opportunities, and use data to unlock business growth. You will play a key role in maintaining data flow across systems, building scalable data models, and partnering across teams to inform decision-making. The ideal candidate will have 2+ years of experience in Business Intelligence and Data Warehousing, with deep expertise in SQL, data pipelines, visualization tools, and cloud-based data architecture.
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 the BI Manager 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:- 3-5+ years of experience in Data Warehousing and Business Intelligence
- Utilization of Looker or DOMO.
- 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:- Understanding of cloud-based data architectures and security best practices
- Leading or guiding small teams
- 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!
