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Data Operations Jobs in Ontario (NOW HIRING)

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Data Operations information

See Ontario salary details

$24K

$80.8K

$167K

How much do data operations jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data operations in Ontario is $80,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Ontario?

The most popular types of Data Operations jobs in Ontario are:

What are popular job titles related to Data Operations jobs in Ontario?

For Data Operations jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Operations jobs in Ontario look for?

The top searched job categories for Data Operations jobs in Ontario are:

Infographic showing various Data Operations job openings in Ontario as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $80,838 per year, or $38.9 per hour.

Senior Business Analyst- Securities Data Services, North America

Toronto, ON โ€ข On-site

Royal Bank of Canada
Banking and Credit Intermediationย โ€ขย 10K+ employees

Full-time

Posted 16 days ago


Job description

Job Description

What is the opportunity?

Reporting to the Associate Director of Securities Data Services, this position plays a key role in developing and executing upon the Client & Account Data overall strategy and goals within Capital Markets.

As part of wider Client & Account Data function, this role contributes to the success of the team by leading the analysis of business requirements and the subsequent translation into functional specifications as well as writing and executing test scripts to ensure quality of deliverables. It is essential for the analyst to provide reference data expertise and build effective relationships with business units and development teams across RBC.

Supporting our data governance and quality controls, as well as actively participating in business and regulatory initiatives that have a significant impact to the firm and our clients. The role is aimed at developing an operational management of data, focused on improving efficiencies, reducing costs whilst also minimizing risk.

Working collaboratively with CLMG partners, COO Group, Risk, IT and Front office businesses partners throughout the bank, to understand their requirements and relevant business processes in order to deliver change and ultimately improve client service.

What will you do?

Key Responsibilities

Manager within Client & Account Data is responsible for: -

Business as Usual

  • Captures and documents client requirements, presents solutions for approval, and provides requirements to development teams with test cases. Tests solutions in non-production environments and conducts post-production verification.
  • Maintains project documentation to support knowledge transfer and seamless transition to support phases. Identifies root causes of data issues and implements systematic solutions. Provides subject matter expertise to internal clients. Writes queries to support analysis and testing.
  • Works with external data vendors to understand impacts on existing processes. Evaluates new vendors or datasets. Maintains awareness of industry standards, best practices, and regulatory requirements.
  • Manage securities reference data operations and stakeholder engagement.

Relationship Management

  • Collaborates with business partners, IT, and CLMG. Provides regular updates to senior management on metrics, timelines, and project expectations. Identifies process efficiencies and escalates issues promptly to manage stakeholder expectations.
  • Optimizes securities reference data processes to reduce cycle time and manual effort. Integrates multiple functions to a common data source to reduce costs. Maintains data lineage documentation to support operational expansion and system enhancement prioritization.

Change the Bank / Projects

  • Work closely with management and supporting teams, providing input on all initiatives impacting reference data applications and/or expansion of reference data consumption by downstream users to meet ongoing and evolving business, risk, and regulatory requirements.
  • Support delivery of data remediation activities, finding innovative ways to both remediate and implement stronger data quality controls around data environments
  • Develop and oversee data quality reporting and ensure senior management is informed of data quality issues and operational risks that are identified as impactful to downstream processes or the business operations.
  • Maintain documentation outlining data lineage pertaining to all securities related reference data in order to support the expansion of operational capabilities across Capital Markets, aiding in the prioritization of process and system enhancements.
  • Act as a subject matter expert on projects.

People Management

  • Build and grow SDS Analyst to be SMEs and support global function.
  • Build and develop your team into subject matter experts by demonstrating strong leadership, coaching, and decision-making in ambiguous situations.
  • Set 2+ goals and 2+ development items per team member by Q2, tracked in Workday Talent Profile.
  • Conduct performance reviews annually and hold career conversations quarterly, focusing on skills development.
  • Provide timely, actionable feedback and coaching, address performance gaps through structured conversations and documented improvement plans.
  • Delegate tasks to reduce direct involvement in BAU activities and create capacity for strategic priorities.
  • Participate in leadership training and professional development. Set clear, ambitious goals aligned to organizational priorities.
  • Develop talent by investing in potential and recognizing high performers.
  • Advocate for your team and facilitate opportunities for growth and retention.
  • Promote a strong risk culture and promptly address misconduct. Empower employees with skills to thrive long-term.

What you need to succeed?

Required Experience & Skills

  • 5-7 years in Business Analysis, Data Analysis, or a related role within financial services.
  • Experience working in a data-intensive environment with exposure to multiple source systems and complex data flows.
  • Excellent Communication skills, Strong PC skills, particularly Microsoft office, ability to work in fast paced environment with frequent distractions and changing priorities, High standards for accuracy and efficiency.
  • Demonstrates initiative and seeks to solve problems beyond immediate area of influence
  • Ability to maintain strong attention to detail and meet deadlines in high-pressure situations
  • Facilitates cross-department information flow and best practice sharing
  • Builds and matures relationships across the organization; high level of client focus
  • Leadership skills & ability to provide growth for members of the team
  • Strong verbal and written communication skills

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
  • Leaders who support your development through coaching and managing opportunities
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Opportunities to do challenging work
  • Flexible work/life balance options

#LI-KA2

Job Skills

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

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:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-25

Application Deadline:

2026-09-08

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.

Employment Type: FULL_TIME