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Senior Data Analyst Lead

Scotiabank

Canada · On-site Full-time Lead 4d ago

About the role

Requisition ID

243195

About

Join a purpose driven winning team, committed to results, in an inclusive and high‑performing culture.

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.

Scotiabank is a leading bank in the Americas. 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.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

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, including improving and optimising 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.

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.
  • Detail‑oriented and capable of delivering a high level of accuracy.
  • Organizational skills.
  • Knowledge of business structure.
  • Stakeholder analysis.
  • Expertise in 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.

Benefits

  • Diversity, Equity, Inclusion & Allyship – Inclusive culture, Employee Resource Groups (ERGs) spanning diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations – Commitment to removing barriers and meeting accessibility requirements.
  • Upskilling – Online courses, cross‑functional development opportunities, tuition assistance.
  • Competitive Rewards – Bonus, flexible vacation, personal and sick days, benefits starting day one.
  • Dynamic Ecosystem – Free tea & coffee, universal washrooms, ample space for team collaboration.
  • Community Engagement – Hackathons, contests, “Cooking with Friends,” Humans of Digital, and more.

Location

Canada – Ontario – Toronto

Additional Information

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.

Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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.

Responsibilities

  • Gather requirements, conduct research, and provide actionable insights to solve business problems.
  • Serves as a data analyst and technical support for information systems.
  • Promote efficiency through the systems used in a company by improving and optimizing current systems and creating new systems.
  • 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 analyst 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 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

bonusflexible vacationpersonal dayssick daysbenefits

Skills

FlumeGoogle Cloud PlatformHadoop HDFSHiveKafkaNoSQLPigPostgreSQLSQLSpannerSpark-streamingSqoop

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