BI Engineer

We are seeking a 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.

Responsibilities

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

Requirements

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

Experience working with 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

Benefits

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