Senior Manager, Analytics Engineer

Royal Bank of Canada • Mississauga, ON

7d • Onsite

About The Position

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 will have a small team of business insight professionals reporting to you 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.

Requirements

• Semantic layer expertise is non-negotiable: 5–10 years with analytics platforms with deep 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 Haves

• 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

Responsibilities

• 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. Own 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: Design semantic models and data contracts that let analysts and data scientists independently use trusted data. Reduce friction, 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.
• Set technical standards: Establish how semantic models are built, documented, and consumed. Champion best practices for dimensional design, metric governance, and data quality. Your work becomes the template for how the organization thinks about metrics and analytics. Mentor on best practices, advocate for consistency and quality.
• Team Leadership: Lead a team of analysts in creating data product solutions which may include the creation of reporting using Tableau

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed