Business System Analyst

RBC•Montreal, QC

19h•Onsite

About The Position

A technical professional who bridges business needs and IT solutions. They analyze organizational systems, create user stories, identify inefficiencies, and recommend technology solutions to improve business processes. This role is ideal for technical problem-solvers who excel at implementing innovative solutions while maintaining compliance and quality. Proficiency in banking systems, data flows, and associated risks is a strong asset. Your core responsibilities revolve around three key pillars: business rule validation and alignment, where you ensure technical solutions meet organizational goals; test strategy and execution, designing robust frameworks for system reliability and process optimization, leveraging technology to streamline workflows. You will act as a liaison between business units, software engineers, and quality analysts. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.

Requirements

Bachelor’s degree in computer science, Data Science or a related field with 5+ years as a Business Systems Analyst, preferably in financial services.
Familiarity with REST/SOAP APIs to facilitate data exchange between systems (e.g., integrating client data).
Advanced proficiency in SQL to extract, transform, and analyze data from relational databases (e.g., Oracle, SQL Server).
Skills in generating synthetic data, data masking, or subset extraction to support testing (e.g., using tools or custom scripts).
Proficiency in data visualization tools (e.g., Tableau, Power BI, Lucid chart and Visio).
Proficiency in collaboration platforms like Jira, Confluence and Git version control system.

Nice To Haves

DB2, legacy systems and big data platforms (e.g., Snowflake, Hadoop) are big assets.

Responsibilities

Translate and validate complex business rules with stakeholders, ensuring mutual agreement on definitions, logic, and expected outcomes.
Curate feature-specific test data sets that align with distinct business logic, workflows, and use cases to enable comprehensive functional and regression testing across all system modules.
Design and generate synthetic, anonymized, or masked test data to validate system functionality, reports, and business rules, ensuring test data covers edge cases, compliance scenarios, and performance requirements.
Gain understanding of upstream applications and the data provided, interfacing with other app teams and architects as needed to document dataflows.
Implement data masking techniques to protect sensitive information in non-production environments.
Design and evaluate system solutions that meet business objectives, including assessing existing systems and recommending improvements or replacements, while creating system diagrams and technical specifications to guide implementation.
Identify inefficiencies in existing systems (e.g., legacy core banking platforms) and recommend improvements.
Value Stream Analysis: Identifying bottlenecks and opportunities for automation or data-driven improvements.