Senior Analytics Manager

Key Skills

Python Programming, SQL, PowerBI, Aartificial intelligence, Machine learning techniques, JIRA, Natural Language Processing (NLP), Tableau, R Programming, Confluence

Job Description

The role of the Data Products & Insights Senior Analytics Manager within the CAE Group is to drive digital transformation by developing data-driven solutions for internal audit. You will work within a high-throughput, global audit analytics team of like-minded individuals, developing sustainable, scalable, and reusable data products that enhance audit efficiency and effectiveness as part of the strategy to digitally transform the RBC CAE Group.

The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

What will you do?

• Lead the design, development, and implementation of innovative data products that enhance audit efficiency and effectiveness.
• Conduct in-depth analysis of large and complex datasets to identify trends, anomalies, and key risk indicators before translating findings into actionable insights for audit teams.
• Ensure the quality, accuracy and integrity of data used to perform analytics during audit engagements.
• Develop and implement automated processes to improve efficiency, reduce manual effort, and enhance scalability of audit analytics solutions.
• Collaborate closely with audit teams to gather requirements and translate them into effective analytics solutions. Partner with other teams in the CAE Digital Innovation, Data & Analytics group to adhere to data governance standards, identify and onboard new datasets into the CAE analytics ecosystem.
• Stay abreast of emerging technology, methods, and best practices around analytics and audit. Research and pilot new ideas to push boundaries and enhance audit capabilities.
• Guide and mentor junior data analysts on the team.

What do you need to succeed?

Must-have

• 5-7 years of relevant experience in data analytics, with strong proficiency in Python/R, SQL and data visualization software.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
• Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences.
• Experience working with non-technical stakeholders to translate business requirements into data-driven solutions.
• Comfortable working in a fast-paced, dynamic environment with shifting priorities.

Nice-to-have

• Master’s degree or higher in Data Science, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
• Experience with AI/ML techniques, particularly those relevant to anomaly detection and NLP and their application in audit processes.
• Experience working with Dataiku and data visualization software like Tableau, Power BI etc.
• Familiarity with Agile methodologies and tools (e.g., JIRA, Confluence).
• Experience with Internal Audit and/or Capital Markets/Risk Management is a plus.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work.

Job Skills

Big Data Analytics, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents