Senior Data Analyst Lead - Broadridge

Scotiabank • Toronto, ON

10d • Onsite

About The Position

The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers.

Requirements

• 10+ years of experience in data analysis, performance optimization for large OLTP applications
• Knowledge of Wealth Industry – Retail/Wealth, IIROC-CRM guidelines, CRA guidelines
• Oral and written communication skills.
• Interpersonal and consultative skills.
• Facilitation skills.
• Analytical thinking and problem solving.
• Being detail-oriented and capable of delivering a high level of accuracy.
• Organizational skills.
• Knowledge of business structure.
• Stakeholder analysis.
• Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop.
• Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
• Experience working with relational/NoSQL databases
• Experience with data streaming and technologies such as Kafka, Spark-streaming etc.

Responsibilities

• Gather requirements, conduct research, and provide actionable insights to solve business problems.
• Collaborate with multiple teams to ensure project goals meet business needs.
• Document and present findings through reports and presentations.
• Serve as a data analyst and technical support for information systems.
• Analyze current business processes and oversee the integration and implementation process of effective business practices into the appropriate information systems.
• Promote efficiency through the systems used in a company by improving and optimizing current systems and creating new systems to support the company's strategies.
• Create technical documents inclusive of mapping details as well as designing and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress.
• Guide a team of data analysts and work hands-on in developing framework and mapping specs using best practices that will meet the demanding performance requirements.
• Use advanced technical knowledge to support claims and answer clients' questions about the proposed changes.
• Provide end-to-end business/technical guidance and expertise on data integrity and referential integrity across LOBs.
• Define Use Case Scenarios and validate the scenarios.

Benefits

• Diversity, Equity, Inclusion & Allyship
• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed