12 часов назад
BI Engineer (Automotive)
110 000 - 120 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BI Engineer (SQL/Data Warehousing): Building scalable data models, dashboards, reports, and data pipelines for a digital wholesale marketplace for used vehicles with an accent on SQL, ETL/ELT, visualization, and cloud-based data architecture. Focus on transforming large datasets, designing A/B tests, building predictive models, and improving data quality across product, sales, operations, and data engineering.
Location: Toronto, Ontario, Canada
Annual salary: CAD 110,000–120,000
Company
is a publicly traded technology and data company operating a digital wholesale marketplace for 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, analytical capabilities, and team analytics skills through mentoring.
Requirements
- 2+ years of experience in Business Intelligence and data warehousing.
- 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 knowledge of data modeling, governance, dataset structuring, visualization, dashboarding, and advanced spreadsheets.
- Proactive problem-solving and strategic thinking skills.
Nice to have
- Experience with Domo, cloud-based data architectures, and security best practices.
- Experience creating 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 and an employee assistance program.
- Opportunities for internal promotion, career development, and knowledge sharing across a global organization.
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