Title: Lead Data Analyst - Broadridge 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 Gather requirements, conduct research, and provide actionable insights to solve business problems. They collaborate with multiple teams to ensure project goals meet business needs. Serves as a data analyst and technical support for information systems.

The Data

Analyst analyzes current business processes and oversees the integration and implementation process of effective business practices into the appropriate information systems. Data Analyst is topromote efficiency through the systems used in a company. Improving and optimising current systems in the business; Creating 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 analyst and work hands on in developing framework and mapping specs using best practices that will meet the demanding performance requirements Use their advanced technical knowledge to support their 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 10+ years of experience in data analysis, performance optimization for large OLTP applications ~ Knowledge of Wealth Industry - Retail/Wealth, IIROC-CRM guidelines, CRA guidelines ~ Knowledge of business structure.



~ Stakeholder analysis. ~ 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. Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank.

We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive

Rewards program including bonus, flexible vacation, personal, sick days and advantages will start on day one.

Dynamic

Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community

Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

📌 Data Science Lead Analyst [H/F (Toronto)
🏢 Scotiabank
📍 Toronto