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Senior Data Analyst - Data Products & Insights

Job Summary

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.

Job Description

•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.

    #LI-HYBRID
    #LI-POST

    Job Skills

    Actionable Insights, Analytical Thinking, Big Data Analytics, Critical Analysis, Critical Thinking, Data Administration, Data Analysis, Data Analytics, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Emerging Technologies, Group Problem Solving, Independent Thinking, Quantitative Research, Research Documents

    Additional Job Details

    Address:

    20 KING ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    INTERNAL AUDIT

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2025-04-14

    Application Deadline:

    2025-05-30

    Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

    Inclusion and Equal Opportunity Employment

    At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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    David I. McKay
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    Average salary estimate

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    $100000K

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    DATE POSTED
    April 15, 2025

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