2027 Investor Services, PEY Data Analyst (12-16 months)

Posted 2 Days Ago
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Toronto, ON, CAN
In-Office
Entry level
Fintech • Insurance
The Role
Analyze and manage data across platforms, define business and data-quality requirements, develop data-quality frameworks and rules, investigate exceptions, coordinate data flows with engineers, and support client escalations. The role also involves monitoring master reference data, reporting on data-quality performance, and developing AI and machine-learning solutions to identify production data anomalies.
Summary Generated by Built In

Job Description

Job Description Summary

As the Data Analyst, you will provide expertise for Data Management spanning both platforms and projects.  At the core of the role is a detailed understanding of Data management principles and the ability to apply them to meet business and client data requirements. Your role is to ensure that data is well documented and managed across RBC Investor Services. You will be called on to find solutions to complicated data requirements and lead the design, development, testing and delivery. 

As a member of a dynamic, fast paced team, this role brings strong data analysis skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively.  This role requires strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times.  This is complemented by a positive attitude and a willingness to take accountability for results achieved.

Job Description

What will you do?

  • Collaborate with product, business development, Client Ops and digital teams on gathering data requirements.
  • Analyze data within existing legacy data delivery channels, understand/translate business rules and define data requirements for delivering through modern tools and channels.
  • Actively lead and engage in agile-like and business-led initiatives across a matrix environment.
  • Leverage data to create efficiencies and reducing business/client risk.
  • Build & enhance Data quality frameworks and operating models, which will deliver measurement, execution, monitoring, analysis and resolution support for datasets.
  • Consult & confirm critical data elements (CDEs) with business, SME and Domain Experts for implementation of Data Quality Rules.
  • Coordinate with data engineers to define Data flows and Data Quality measuring Points
  • Provide weekly updates for actively running data quality rules for Master Reference Data and share reports with Stewards
  • Actively manage the status of data quality rules enabled on datasets and investigate identified exceptions
  • Build “Artificial Intelligence & Machine Learning” solutions that can identify data anomalies within active production pipelines
  • Investigate and provide support for client exceptions & escalations

What do you need to succeed?

Must-have

  • Working towards a Bachelor or master’s degree in data management, Data Analytics, Data Science, Finance, Business Administration, Economics other related field 
  • Strong personal skills and the ability to work effectively independently and within a team environment.
  • Professional written and verbal communication skills
  • Good analytical, communication and problem solving skills
  • Highly organized with good attention to detail and very high level of accuracy
  • Ability to prioritize, handle multiple tasks under pressure and meet time-sensitive deadlines
  • Ability to think critically and “outside the box”

Nice-to-have

  • Prior experience in the financial services industry, and strong understanding of the data lifecycle, including strong focus on data management and data quality practices.
  • Technical Skills:
    • Programming Languages: Python, Scala, Java, SQL, etc.
    • Data Management: ETL (PySpark, Apache Spark), Data Transformation, Data Pipelines, Data Integrity Distributed Computing: Hadoop, HDFS, MapReduce, Apache Spark
    • Data Streaming: Apache Kafka
    • Database Management: PostgreSQL, AWS RDS, DynamoDB (NoSQL), Elastic Search
    • Cloud Computing: AWS (S3, EC2, Lambda, RDS), Azure
    • Containerization & Orchestration: Docker, Kubernetes
    • Terraform Jira, Confluence, Postman, APIs
    • CI/CD Tools: Jenkins, Git Data Analysis and Visualization:
    • Data Visualization Tools: Power BI, Tableau

Please note

  • In order to be eligible for these student positions, you must either: 
  • Be returning back to school after the work term end-date; or 
  • If you are not returning back to school (i.e. are graduating immediately after the work term), you must require the full work term as a mandatory component in order to graduate successfully

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. At RBC, you will have opportunities to:
  • Interact with leaders who support your development through coaching and managing
  • Network and build lasting relationships with students from diverse backgrounds from across Canada
  • Make a difference and lasting impact through meaningful work
  • Work in a dynamic, collaborative, progressive, and high-performing team

Job Skills

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-09-16

Application Deadline:

2026-10-01

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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Skills Required

  • Working toward a bachelor's or master's degree in data management, data analytics, data science, finance, business administration, economics, or a related field
  • Strong interpersonal skills and ability to work independently and collaboratively
  • Professional written and verbal communication skills
  • Good analytical, communication, and problem-solving skills
  • Strong organization, attention to detail, and accuracy
  • Ability to prioritize, manage multiple tasks under pressure, and meet deadlines
  • Critical thinking and creative problem-solving ability
  • Prior financial services industry experience
  • Understanding of the data lifecycle, data management, and data quality practices
  • Experience with Python, Scala, Java, SQL, or related programming languages
  • Experience with ETL, PySpark, Apache Spark, data transformation, data pipelines, or data integrity
  • Experience with Hadoop, HDFS, MapReduce, or distributed computing
  • Experience with Apache Kafka, databases, cloud computing, containers, orchestration, CI/CD, APIs, or data visualization tools
  • Eligibility for the student position by returning to school after the work term or requiring the full work term for graduation

RBC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RBC and has not been reviewed or approved by RBC.

  • Healthcare Strength Healthcare coverage is positioned as robust, including medical, dental, vision, life insurance, and disability coverage, with day-one eligibility in some U.S. roles. Mental-health support and virtual care offerings are also emphasized as meaningful parts of the package.
  • Retirement Support Retirement and savings support is described as a structured part of total rewards, including 401(k) matching in the U.S. and enhanced defined-contribution pension contributions in Canada. Additional savings vehicles and employer contributions are presented as adding material value beyond base salary.
  • Parental & Family Support Family-oriented benefits are highlighted through paid parental/caregiver leave in certain U.S. roles and expanded support for fertility, surrogacy, and adoption in Canada. Backup care and related family supports are also presented as strengthening overall benefits attractiveness.

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The Company
HQ: Toronto, Ontario
88,000 Employees
Year Founded: 1901

What We Do

Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 88,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities.

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