Senior Data & Reporting/Business Analyst - GFT

RBC; Vancouver; On-site; CAD 95,000 - 140,000; Full time

Job summary

RBC in Vancouver, Canada is seeking a Senior Data Analyst/Engineer to bridge business and technology through advanced data analysis and data connectivity improvements. You will work with Finance and Risk partners, leverage big data tools, and craft insights for senior leadership to shape strategy.

The role emphasizes data governance, automation of analyses, and development of self-service capabilities. A strong background in SQL, Python, and big data platforms is required.

Qualifications

• Solid understanding of Finance business processes such as Balance Sheet Reporting, P&L Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting
• Minimum of 5+ years of analytical experience applying solutions to business problems in analytics, consulting, or data-driven functions
• Demonstrated experience in quantitative, qualitative, analytical, problem solving, and critical thinking skills
• Exceptional storytelling skills with a track record of translating complex data into compelling business insights for Senior Leadership
• Experience with databases, data engineering, ETL/ELT concepts, and big data technologies (Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights
• Proficiency with creating compelling presentations
• Adept at leveraging AI tools to generate queries/scripts, create functional specs/user stories, and trace problems to source

Responsibilities

• Utilize Hive/SQL/Python to perform daily data analysis and advanced data mining on large datasets
• Collaborate with program sponsors, SMEs, and tech teams to finalize requirements and support implementation
• Identify new value sources by addressing data completeness gaps and building use cases
• Create and automate repeatable analyses or self-service tools for business users
• Research industry metrics and apply context to analyses
• Oversee data gathering, transformation, reporting, and analytics to ensure data integrity
• Maintain high standards of quality across the data lifecycle

Skills

Finance knowledge

Analytical thinking

Storytelling

Presentation skills

SQL / Python

Big data

Tools

SQL

Python

Spark

Teradata

Hadoop

Snowflake

Databricks

Job description

What is the Opportunity?

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Senior Data Analyst/Engineer who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. The candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

Job Description

• Utilize Hive/SQL/ Python to perform daily data analysis and advanced data mining and analytics on large transactional datasets
• Work closely with Program sponsors, SMEs in various business areas, technology teams to finalize functional business requirements and support implementation activities
• Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to completeness
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Research industry metrics and business context and bring this context to bear in analyses
• Oversee processes such as data gathering, transformation, reporting, and advanced analytics to ensure the integrity and reliability of large datasets.
• Drive the highest standards of quality, rigor, and thought leadership across the entire data lifecycle.

What do you need to Succeed?

Must have:

• Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting
• Minimum of 5+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business requirements, consulting, or other data-driven functions
• Demonstrated Experienced in quantitative, qualitative, analytical, problem solving, and critical thinking skills.
• Exceptional storytelling skills, with a track record of translating complex data into compelling business insights. Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually.
• Experienced in databases, data engineering, ETL, ELT concepts with utilizing querying, automation, and big data technologies (e.g. Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights
• Proficiency with creating compelling presentations
• Adept in leveraging AI tools for faster writing of queries and scripts and impact assessment by scanning through the code
• Adept in leveraging AI tools to auto-generate functional specs and user stories from requirements
• Adept in leveraging AI tools to trace the problems back to their source and summarize lengthy documents to extract key insights

Nice-to-have

• Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
• Copilot , Git hub , Python knowledge

What’s in it for you?

• 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
• Opportunities to do challenging work.

Job Skills

Analytics, Business Analytics, Business Case Design, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detailed Design, Detail-Oriented, Detail Oriented Tasks, Group Problem Solving, Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address: 745 THURLOW ST:VANCOUVER

City: Vancouver

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-04

Application Deadline: 2026-09-26

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.