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Job Description What is the opportunity? RBC is building modern analytics capabilities centered on cloud data platforms, semantic layers, and self-service analytics. Our goal: create data products that serve distinct business domains across the organization. You'll work across data engineering, analytics, data science, product teams and internal business users, translating requirements into robust analytics solutions. You're the technical problem-solver who turns product direction into working data products that drive decisions. You are an individual contributor working as part of a small team of business insight professionals in a matrixed agile framework. The upside: Ship solutions that matter. Collaborate with sharp people. Solve complex technical and analytical problems. If you're passionate about building things that work and create real impact, this is the role for you. What will you do? Design and build analytics solutions: Uncover product requirements and translate them into end-to-end analytics solutions, data models, transformations, semantic layers, and consumption patterns. Drive quality and maintainability. Solve technical and analytical problems: Navigate complex data scenarios. Find elegant solutions to tricky modeling challenges. Make trade-offs and move forward. Enable self-service analytics: Support semantic model delivery and data contracts that let analysts independently use trusted data. Reduce friction and eliminate bottlenecks. Collaborate effectively: Work with data engineers, governance experts, analysts, data scientists, product teams and internal business users. Understand their needs. Communicate constraints and possibilities clearly. Establish ownership and accountability of data to reduce ambiguity and clarify decision making. Support technical standards: Support semantic model building, documentation and consumption. Lead best practices for dimensional design, metric governance, and data quality. Your work drives how the organization thinks about metrics and analytics. Mentor on best practices, advocate for consistency and quality. What do you need to succeed? Must-Have: Semantic layer expertise is non-negotiable: 2+ years with analytics platforms and hands-on experience in semantic layers (dbt, Cube.js, Looker Semantic Layer, or similar). You have proven experience in building solutions that drive decisions. You understand dimensional data modeling, data contracts and how to make metrics consistent and discoverable. You know what works at scale, what creates debt Hands-on modern data stack experience: You've worked with dbt (or another transformation tool), cloud data warehouses (Snowflake, Databricks, BigQuery), and semantic layer concepts (dbt, Cube.js, Looker, etc.). You understand how these pieces fit together. Outcome-focused problem solver: You think about impact, not output. You're comfortable with ambiguity and make sound decisions with incomplete information. You iterate and move forward. You care about code quality, maintainability, and how others will use what you build. Clear communicator: You explain trade-offs honestly. You write documentation people want to read. You speak across technical and business audiences without jargon. Meticulous about craft: You care about code quality, maintainability, and how others will use what you build. Nice to have: Financial services or regulated industry experience Hands-on experience with Gen AI for code generation, documentation, and problem-solving Experience evolving analytics infrastructure or modernizing BI platforms Strong foundation in data modeling and dimensional design Track record collaborating across business domains What’s In 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, 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 Opportunities to take on progressively greater accountabilities. Access to a variety of job opportunities across business and geographies. #TECHPJ Job Skills Analytical Thinking, Business Decisions, Communication, Critical Thinking, Dashboard Development, Dashboard Reporting, Data Analysis, Data Insights, Data Visualization, Knowledge Organization, Long Term Planning, Tableau (Software), Teamwork Additional Job Details Address: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City: Mississauga Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: INSURANCE Job Type: Regular Pay Type: Salaried Posted Date: 2026-08-12 Application Deadline: 2026-09-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Compensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate's experience, skills, registration status, performance, individual goals, market conditions, and business needs. Pay Range The expected pay range for this position is: $67,000.00 - $110,000.00 The pay range provided is for the primary work location referenced in the Additional Job Details section of this job posting. Pay ranges may differ based on location. If the posting lists multiple job locations, a recruiter can confirm availability of the role and the relevant pay rage for the additional locations listed. RBC supports pay transparency and we strive to ensure all pay ranges are competitive, fair, and equitable. You have the potential to earn RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided that business meets its performance targets and you meet your individual goals. Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

Ce que vous ferez

Design and build end-to-end analytics solutions, including data models and semantic layers, to drive business decisions. Collaborate with cross-functional teams to enable self-service analytics and establish technical standards for metric governance.

Exigences

Requires 2+ years of experience with analytics platforms and hands-on expertise in semantic layers like dbt, Cube.js, or Looker. Candidates must be proficient with modern data stacks, cloud data warehouses, and dimensional data modeling.

Avantages

• Bonuses • Flexible benefits • Competitive compensation • Commissions • Stock options • Coaching and development

Compétences indiquées

• Communication · Souhaitée
• Analyse de données · Souhaitée
• Visualisation de données · Souhaitée
• Tableau · Souhaitée
• Travail d’équipe · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Analytical Thinking
• Business Decisions
• Communication
• Critical Thinking
• Dashboard Development
• Dashboard Reporting
• Data Analysis
• Data Insights
• Data Visualization
• Knowledge Organization
• Long Term Planning
• Tableau
• Teamwork
• Dimensional Data Modeling
• Semantic Layer Expertise

Domaines d’emploi

• Data & Analytics
• Technology
• Finance & Accounting
• Management & Leadership
• Software