Analytics Engineer at Robinhood

Join Robinhood's Analytics Engineering team in Toronto, ON, where you'll transform data into actionable insights. Focus on ETL pipelines, data modeling, and analytics tools to drive critical business decisions.

As an Analytics Engineer, you'll play a vital role in shaping Robinhood's data architecture while collaborating with product managers, engineers, and data scientists. Your experience in data engineering will be essential for delivering high-quality, scalable analytics solutions that support product strategies and regulatory compliance. You will be hands-on in defining metrics, building robust data frameworks, and promoting a culture of data literacy.

Key Responsibilities:

• Partner with cross-functional teams to deliver high-impact analytics initiatives

• Design and maintain scalable ETL pipelines using tools like Airflow and Spark

• Lead the development of analytics products from ingestion to visualization

• Build frameworks to enhance data accessibility across the organization

• Collaborate with data scientists to provide insights that influence business outcomes

Requirements:

• 3+ years in Analytics Engineering or related field

• Proficiency in SQL, Python, and Apache Spark for data processing

• Experience in maintaining ETL pipelines with modern tools

• Familiarity with dashboards using Superset, Looker, or Tableau

• Strong understanding of CI/CD and version control workflows

Shape Robinhood's analytics landscape by leveraging your skills in data processing and visualization.
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