Data Analytics Specialist, (Global Security)
About The Position
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.
Requirements
- 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 Haves
- 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.
Responsibilities
- 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.
- 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.
- 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.
Benefits
- bonuses
- flexible benefits
- competitive compensation
- commissions
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
