обновлено 5 дней назад
BI Engineer (SQL)
110 000 - 120 000CAD
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BI Engineer (SQL): Building scalable data models, pipelines, dashboards, and reports for a digital wholesale marketplace with an accent on business intelligence, data quality, and actionable insights. Focus on transforming large datasets, designing A/B tests, developing predictive models, and improving analytical infrastructure.
Location: Toronto, Ontario, Canada
Annual salary: CAD 110,000–120,000
Company
is a publicly traded technology, data, and innovation company operating a digital marketplace for wholesale used vehicles.
What you will do
- Own the Business Intelligence domain by surfacing insights, solving problems, and supporting data-driven decisions.
- Partner with Product, Sales, Operations, Data Engineering, and senior leadership to improve data quality, availability, and usage.
- Transform large datasets with SQL and scripting languages to generate business insights.
- Design, execute, and analyze A/B tests and other experiments.
- Build predictive models, trend analyses, scalable data models, dashboards, and reports using tools such as Domo.
- Improve data pipelines, infrastructure, and analytical capabilities while mentoring colleagues.
Requirements
- 2+ years of experience in Data Warehousing and Business Intelligence.
- Advanced SQL skills and experience with relational databases such as Snowflake, Redshift, Oracle, or SQL Server.
- Strong experience with ETL/ELT development and data pipeline management.
- Proficiency in a scripting language such as Python, JavaScript, Java, or Scala.
- Strong foundation in data modeling, governance, and long-term dataset structuring.
- Expertise in data visualization, dashboarding, and advanced Excel or Google Sheets.
Nice to have
- Specific experience with Domo.
- Knowledge of cloud-based data architectures and security best practices.
- Experience implementing data governance strategies.
- Background in data science or machine learning applications.
- Familiarity with API integrations and automation techniques.
Culture & Benefits
- Medical, dental, and vision benefits, with HSA contributions and FSA options in the US.
- Immediately vested 401(k) with company match in the US or RRSP with company match in Canada.
- Paid vacation, personal, and sick time.
- Tuition reimbursement for eligible programs.
- Opportunities to expand skills, share knowledge, and pursue internal promotions across a global organization.
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