Senior Analytics Manager

SML Inox; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Products & Insights Senior Analytics Manager to lead the digital transformation within their audit analytics team. This exciting role involves developing innovative data products and conducting in-depth analysis of complex datasets to enhance audit efficiency. You will collaborate with various teams to gather requirements and ensure data quality while mentoring junior analysts. If you thrive in a dynamic environment and are passionate about leveraging data to drive insights, this opportunity is perfect for you. Join a high-performing team that values growth, collaboration, and making a difference in the community.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Competitive compensation

Development coaching and opportunities

Dynamic and collaborative work environment

Qualifications

• 5-7 years of experience in data analytics with proficiency in Python, SQL, and visualization tools.
• Strong communication skills to convey technical concepts to non-technical audiences.

Responsibilities

• Lead the design and implementation of innovative data products for audit efficiency.
• Conduct analysis of complex datasets to provide actionable insights.

Skills

Data Analytics

Critical Thinking

Data Mining

Data Visualization

Python

SQL

Communication Skills

Education

Bachelor's degree in Data Science

Master's degree in Data Science

Tools

Tableau

Power BI

Dataiku

JIRA

Confluence

Job description

Job Summary

What is the opportunity?

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.
• Bachelors 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

• Masters 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.

Whats 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

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: 2025-02-05

Application Deadline: 2025-02-21

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 embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.