Senior Data Analyst

Role overview

Responsibilities

• Gather requirements, research business problems, and provide actionable insights with multiple teams.
• Document and present findings through reports and presentations.
• Improve existing business systems and create systems supporting company strategies.
• Create technical data-mapping documents and implement batch, streaming, and API data-ingestion patterns for ingress and egress.
• Provide technical guidance on proposed changes and answer client questions.
• Guide data and referential integrity across lines of business.
• Define and validate use-case scenarios.

Experience and domain knowledge

• 10+ years of data analysis and performance optimization for large OLTP applications.
• Knowledge of Wealth/Retail Wealth and IIROC-CRM and CRA guidelines.
• Knowledge of business structure and stakeholder analysis.

Technical qualifications

• Expertise in Hadoop HDFS, Hive, Pig, Flume, and Sqoop.
• Working experience with Google Cloud Platform databases, including SQL, Spanner, and PostgreSQL.
• Experience with relational or NoSQL databases.
• Experience with data streaming technologies such as Kafka or Spark Streaming.
• Strong communication, interpersonal, consultative, facilitation, analytical, problem-solving, and organizational skills; attention to detail and accuracy.

Benefits and culture

• The employer describes an inclusive workplace and offers online courses, cross-functional development, and tuition assistance.
• The posting mentions a competitive rewards program, flexible vacation, personal and sick days, and benefits starting on day one.
• The employer describes opportunities for community engagement and collaboration.