Senior Manager, Reporting & Analytics at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, ETL/ELT, Data Quality, Validation, Cloud Migration, Snowflake, SQL, Python, Data Modeling, Dimensional Design, Data Warehouse Architecture, Query Optimization, Metadata Management, Data Governance, Documentation, Collaboration

Industry

Banking

Description

Job Description What is the opportunity? We are seeking a Senior Manager, Reporting & Analytics to join our Wealth Management Canada Business Intelligence Team. You will play a critical role in enabling our Business Intelligence and Analytics team to deliver timely, accurate reporting and insights to our business stakeholders. Your primary focus will be on building robust data pipelines, ensuring data quality, and providing efficient data delivery mechanisms that empower Business Analysts to focus on analytics and insights generation. This role offers the opportunity to directly support the transformation of our analytics infrastructure while maintaining the highest standards of data reliability and accessibility. What will you do? · Data Pipeline Development: Design, build, and optimize ETL/ELT pipelines to efficiently supply clean, accurate data to Business Analysts for reporting and analytics purposes, reducing manual data preparation time Support Business Analyst Requirements: Collaborate closely with Business Analysts to understand their data needs and rapidly deliver structured, accessible data layers that enable efficient dashboard and report creation Data Quality & Validation: Implement automated data quality checks, validation rules, and monitoring to ensure data accuracy and reliability, minimizing errors in downstream reporting and analytics Cloud Migration & Modernization: Lead the migration of data processes from legacy SAS and SQL Server environments to Snowflake, enabling faster data delivery and near real-time analytics capabilities Data Accessibility & Performance: Optimize query performance and data accessibility so Business Analysts can quickly retrieve and analyze the data they need without technical bottlenecks Documentation & Knowledge Sharing: Create clear documentation of data sources, transformations, and data lineage to enable Business Analysts to understand and trust the data they're working with Metadata & Data Governance: Establish and maintain metadata catalogues, data dictionaries, and governance standards that make data discoverable and usable across the organization What do you need to succeed? Enable Business Analysts to self-serve data needs through well-structured, easily accessible data environments Support cloud-first migration from SAS/SQL Server to Snowflake for faster, near real-time data delivery Establish unified data ecosystem with consistent data sources accessible to all reporting and analytics teams Implement automated data validation and lineage tracking to ensure data integrity and traceability Reduce time-to-insight by optimizing data pipelines and eliminating manual data preparation tasks Support 100% on-time delivery of regulatory reports (e.g., CRM3, CIRO) through reliable data infrastructure This is an individual contributor role Must haves: Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related field 7+ years of experience as a Data Engineer or in a similar data infrastructure role Strong proficiency in SQL and or Python and experience with data modeling and dimensional design Knowledge of data warehouse architecture and best practices Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities, with ability to work effectively with Business Analysts and other stakeholders Nice-to-have: Proficiency with BI tools (Tableau, Power BI, or equivalent) and MS Excel Experience with Snowflake or other cloud data warehousing platforms (AWS Redshift, Google Big Query, Azure Synapse) Proficiency in Python, Java, or Scala for data processing and automation Knowledge of financial services or wealth management industry Familiarity with data governance frameworks and metadata management tools 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. Opportunity to shape the future of analytics at RBC Wealth Management Exposure to cutting-edge cloud technologies and modern BI practices Collaborative team environment with experienced mentors A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work Professional development and career growth opportunities Job Skills Agile Methodology, Business Data Analysis, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Decision Making, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: WEALTH MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2026-02-13 Application Deadline: 2026-03-09 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

The role focuses on designing, building, and optimizing ETL/ELT pipelines to deliver clean, accurate data for Business Analysts, while implementing automated data quality checks and monitoring to ensure reliability. A key responsibility is leading the migration of data processes from legacy SAS and SQL Server environments to Snowflake for modernization and improved performance.