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Data Analytics Specialist at RBC – transform security data into insights, build dashboards, and support cyber‑security decisions.
Apply before 2026‑08‑17 to join a dynamic team delivering security analytics across RBC Global Security.
What is the Opportunity?
The Pharos Data & Analytics team within RBC Global Security is looking for a Data Analyst to help transform security data into meaningful insights that drive decision‑making across the enterprise. You will work closely with data engineers, product owners, and security stakeholders to explore, analyze, and visualize data from our security data platform.
This is a hands‑on analytical role where you will write complex queries against large‑scale datasets, build dashboards and reports, identify trends, and deliver data‑driven recommendations that directly improve our organization's security posture.
What You Will Do
Analyze & Deliver Insights
Write advanced SQL queries to explore, validate, and extract insights from large‑scale security datasets across bronze/silver/gold layers in Databricks and Delta Lake.
Build and maintain dashboards and reports that surface key security metrics, KRIs, and trends to stakeholders and leadership.
Perform root cause analysis on data anomalies and quality issues.
Collaborate & Communicate
Partner with data engineers to define data requirements, validate pipeline outputs, and ensure data accuracy.
Work with security stakeholders to understand business questions and translate them into analytical deliverables.
Present findings clearly to both technical and non‑technical audiences.
Improve & Scale
Identify opportunities to automate recurring analyses and reporting workflows.
Contribute to data quality standards by flagging inconsistencies and proposing validation rules.
Support the development of self‑serve analytics capabilities for the broader security organization.
Must Have
- 3+ years of experience in a data analyst or similar analytical role.
- Advanced SQL skills — complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning on large datasets.
- Experience working with Databricks, Delta Lake, or similar cloud‑based data platforms.
- Proficiency in building dashboards and visualizations (Python,Power BI, Tableau, or Databricks SQL dashboards).
- Strong analytical and problem‑solving skills — ability to work with ambiguous requirements and distill them into clear deliverables.
- Excellent communication and presentation skills — comfortable presenting to stakeholders at all levels.
- Familiarity with data modeling concepts (star schema, dimensional modeling).
Nice to Have
- Proficiency in Python for data analysis (pandas, notebooks).
- Experience with Azure cloud services.
- Background in cybersecurity data (vulnerability management, SAST/DAST, asset inventory, compliance metrics).
- Familiarity with version control (Git) and Agile workflows.
- Exposure to statistical analysis or basic ML concepts.
- Experience with data quality frameworks or data governance practices.
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
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies
Job Skills
Almacenamiento de datos (DW), Análisis de requisitos, Computación de la nube, Desarrollo de bases de datos, Gestión de Big Data, Gestión de calidad, Minería de datos, Procesamiento ETL, Resolución de problemas en grupo
Additional Job Details
Address: 16 YORK ST:TORONTO
City: Toronto
Country: Canadá
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-07-22
Application Deadline: 2026-08-17
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.