Data Analyst
RBC
Job Summary
Job Description
WHAT IS THE OPPORTUNITY?
RBC Capital Markets Technology is looking for a highly skilled Data Analyst to join the Data Architecture Service team. The role will focus on documenting data requirements, identifying data requirements gaps, supporting the datasets registration, ingestion, and consumption processes to satisfy requirements for key initiatives and the overall CM data strategy.
WHAT WILL YOU DO?
- Collaborate with Capital Markets business partners to define strategy and the buildout of technology solutions; coordinate across all LOBs and Product Owners to identify synergies and share best practices / ideas supporting a horizontal approach.
- Define and deliver innovative solutions to satisfy current and future business needs in the context of market dynamics and business impact.
- Liaise with business stakeholders to understand their needs and across all LOBs and regions to define the tech strategy, identifying synergies, sharing best practices & idea in support of a horizontal approach.
- Create road-map, define milestones and ensure solutions align with the wider capital markets strategy; coordinate roll-out and adoption; define success criteria; and obtain feedback post roll-out; understand how users are interacting with the product and address any adoption challenges.
WHAT DO YOU NEED TO SUCCEED?
Must have:
- Excellent SQL querying skill with ability to work with SQL & Data Cloud developers to deliver data projects.
- Strong knowledge in common data analytics tools, not limited to Excel, Python.
- Strong knowledge in business and data analysis, translate business requirements into functional specifications which can be implemented by engineering teams.
- Excellent analytical and ability to analyze complex situations and problems, do necessary research using multiple sources of information to arrive at innovative solutions.
- Ability to communicate effectively with diverse audiences including peers, leadership, functional and technical teams.
Nice-to-have:
- Working knowledge with data visualization tools and analysis techniques
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.
- 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
#LI-Hybrid
#LI-POST
#TECHPJ
Roar764585333
Job Skills
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)
Additional Job Details
Address:
90 WESTERN PKY:BEDFORD
City:
BEDFORD
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
CAPITAL MARKETS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-03-19
Application Deadline:
2025-04-18
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.
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