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Scotiabank Senior Manager, Loyalty Analytics, (1 year contract) - CID&A in Toronto, Ontario

Senior Manager, Loyalty Analytics, (1 year contract) - CID&A

Requisition ID: 198607

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

This role requires a blend of data analytics skills and some data engineering expertise to help accelerate the migration of our existing reporting and processes from SAS to Google Cloud Platform (GCP), focusing on BigQuery and notebooks. The ideal candidate will have strong ability to understand and interpret data, ensuring that the rewritten processes yield the same results after migration.

Is this role right for you? In this role you will:

  • Rewriting existing SAS-based data analytics reports and processes in GCP BigQuery and Notebook.

  • Identify the appropriate data tables in GCP to replace the existing Enterprise Data Lake structures.

  • Validate and ensure that the migrated reports generate the same results as the original SAS outputs.

  • Analyze complex datasets to extract insights and trends, translating them into actionable business intelligence and insights.

  • Collaborate with business stakeholders and other Data Scientists to ensure that the data and logic used in the reports align with business objectives.

  • Document the new processes and provide guidelines for future references.

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have experience with:

  • 5+ years of work experience in loyalty rewards, business or finance, with people management experience

  • Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics computer science, or engineering

  • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related.

  • Working Knowledge of Hadoop, Big Data, Data Lake and experience in Python, R would be an asset

  • Good verbal and written communication and presentation skills

  • Proficient in data visualization tools such as Tableau or Power BI

  • Excellent analytical, logical, and organizational skills; a drive to understand the relationships between data and activities, draw conclusions and use critical thinking to validate

What's in it for you?

  • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.

  • A rewarding career path with diverse opportunities for professional development

  • Internal training to support your growth and enhance your skills.

  • An inclusive working environment that encourages creativity, curiosity, and celebrates success!

  • Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.

  • Hybrid Work Environment

Location(s): Canada : Ontario : Toronto

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. 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. If you require technical assistance, pleaseclick here (https://www.scotiabank.com/careers/en/careers/technical-support-for-applicants.html) . 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.

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