Analytics Engineer, RBCx
Royal Bank of Canada · 20 KING ST W:TORONTO ·
- Employment
- Full time
- Category
- Data analytics
- Experience
- 2+ years
Royal Bank of Canada · 20 KING ST W:TORONTO ·
Job Description
RBCx is a new kind of organization – one that marries the strength of one of the world's most trusted and successful financial institutions with a mission to reimagine the role we play in people's lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.
About RBCx Analytics
The RBCx Analytics team solves strategic problems across the organization using a data-driven approach. We leverage data to unlock opportunities, influence strategy, assess the impact of business tactics and make relevant recommendations to the individual portfolio companies, internal or external partners. Our team has seen massive growth since inception, and have provided tremendous value across RBCx teams and RBC Lines of Business (LOB). Our priority is to continue the expansion of the team to scale our services and provide opportunities for new team members to find innovative solutions.
This role works in the office 3 to 4 days a week.
What is the opportunity?
Build, maintain, and optimize the data analytics stack including ETL pipelines, orchestration, and data infrastructure
Own and evolve data models and pipelines that drive data assets, dashboards, reporting, and downstream analysis
Collaborate with RBCx and/or RBC's partners to understand core business goals and translate them into scalable data solutions
Apply best practices for data testing, observability, and CI/CD to ensure reliable, trustworthy data products
Contribute to internal data documentation and governance practices
Develop strong relationships with your stakeholders to achieve superior business results and long-lasting impact
Communicate technical approaches and data insights effectively to influence decision making at senior leadership levels
What do you need to succeed?
Must Have:
2+ years of relevant experience in analytics engineering, data engineering, or related analytical function
Strong programming skills in SQL and Python for data modeling, automation, and pipeline development (experience with dbt is a plus)
Proven ability to design and implement ETL/ELT pipelines with a focus on data quality and performance
Experience with complex, large-scale relational databases and data platforms, with an aptitude to adapt and implement additional technical applications or tools
Knowledge of version control (Git) and CI/CD practices for data pipelines
Strong ownership and accountability for data quality, reliability, and performance
Business acumen, curiosity, good communication, high attention to detail, and strong technical skills.
Experience managing data tools/platforms and hosting team-based knowledge sharing sessions
Proven track record of communicating technical approaches and analytics results back to business partners and/or C-level
Ability to inform and influence stakeholders cross-functionally through data, building relationships, while communicating early and often
We like to have fun and work with people who are passionate about analytics. We are looking for someone who thrives in a diverse and inclusive culture
Nice to Have:
Advanced degree in a quantitative field of study (e.g., statistics, economics, analytics, computer science, engineering)
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
Experience with data observability and monitoring tools
Experience publishing reports/dashboards and visualizations with Tableau or Power BI is a big plus
Leadership experience (in direct and/or indirect reporting capacity)
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.
Comprehensive Total Rewards Program including bonuses and flexible benefits
Opportunity to lead analytics infrastructure strategy across RBCx portfolio companies and influence
RBC enterprise data & analytics capabilities
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in an agile, collaborative, progressive, and high-performing team
The opportunity to interface with senior level executives from many different parts of the organization
Job Skills
Access Data, CI/CD, Data Engineering, Data ETL, Git, Microsoft Power Business Intelligence (PBI), Python (Programming Language), Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
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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.