Senior Data Analyst - Data Products & Insights

RBC; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Analyst where you will play a pivotal role in driving digital transformation through innovative data solutions. Collaborate with a global audit analytics team to develop scalable data products that enhance audit efficiency. This role offers the opportunity to mentor junior analysts while staying at the forefront of emerging technologies and best practices in analytics. If you are passionate about leveraging data to create impactful insights and solutions, this is the perfect opportunity for you.

Qualifications

• 5-7 years of experience in data analytics with proficiency in Python/R and SQL.
• Excellent communication skills to convey technical concepts to non-technical audiences.

Responsibilities

• Lead design and implementation of innovative data products for audit efficiency.
• Conduct in-depth analysis of large datasets to identify trends and insights.
• Develop automated processes to enhance scalability of audit analytics solutions.

Skills

Python

R

SQL

Data Visualization Software

Data Analysis

Education

Bachelor’s degree in Data Science

Bachelor’s degree in Statistics

Bachelor’s degree in Computer Science

Bachelor’s degree in Financial Engineering

Job description

Senior Data Analyst - Data Products & Insights

Join to apply for the Senior Data Analyst - Data Products & Insights role at RBC.

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 also illuminates a bigger picture, connects dots, builds best practices, and broadens possibilities. We connect intelligence to protect and enable RBC.

Job Responsibilities

• 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, translating findings into actionable insights for audit teams.
• Ensure the quality, accuracy, and integrity of data used during audit engagements.
• Develop and implement automated processes to improve efficiency, reduce manual effort, and enhance scalability of audit analytics solutions.
• Collaborate with audit teams to gather requirements and translate them into analytics solutions. Partner with other teams to adhere to data governance standards, onboard new datasets into the analytics ecosystem.
• Stay updated on emerging technologies, methods, and best practices in analytics and audit. Research and pilot new ideas to push boundaries.
• Mentor junior data analysts.

Qualifications

• 5-7 years of relevant experience in data analytics, proficiency in Python/R, SQL, and data visualization software.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Financial Engineering, or related field.
• Excellent communication skills to convey technical concepts to non-technical audiences.

Additional Details

Location: 20 KING ST W, TORONTO, 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

Applications accepted until 11:59 PM on the day prior to the deadline.

Inclusion & Equal Opportunity

At RBC, we foster an inclusive workplace with diverse perspectives, supporting employees to perform at their best, collaborate, innovate, and grow professionally. We are committed to policies promoting respect, belonging, and opportunity for all.