Business Data Analyst (Capital Markets)

Business/Data Analyst – Capital Market Only candidates who have work authorization in Canada/USA may apply. Contract Hybrid Toronto / Halifax What is the opportunity? The primary purpose of this position is to collaborate with Capital Markets (CM) business stakeholders, Quantitative & Technology Services (QTS) IT teams and Enterprise teams to facilitate the broader adoption of the Data Strategy across Capital Markets.

Engage and partner with QTS application teams moving onto the Data Insights platform, outlining features and enhancements. Analyze data sets and develop detailed requirements around sourcing, Infosec classification, data transformations as appropriate. Coordinate with the platform engineering teams to ensure data/functional requirements are understood and implemented as per specification.

Define key performance indicators and regularly analyze product performance to make data‑driven decisions. Review and finalize business requirements for Data Strategy from various streams within QTS and Enterprise. Create functional specifications and design documents aligned with the existing Data Lake architecture.

Conduct market research to understand customer needs, market trends and competing products that can be leveraged to solve the Capital Markets business problems. What will you do? Requirement Analysis and Documentation Engage and partner with QTS application teams moving onto the Data Insights platform to understand their analytical use‑cases/ business goals and confirm product fitment Facilitate information gathering sessions, including leading discussions, managing group dynamics, and maintaining group focus, to work towards accomplishing the stated goal(s) of the session within the context of the project objectives – From these information sessions, gather the requirements and document these requirements, business use cases, feasibility analysis and cross‑functional diagrams as needed Partner with the platform engineering teams to ensure technical capabilities and data requirements are well understood, identify dependencies and integration points Work with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs Ensure system specifications meet the business stakeholders’ expectations/requirements, and negotiate solutions when appropriate Data Analysis Analyze incoming data sets and develop detailed requirements around sourcing solutions, identify provisioning requirements, data transformations Perform data coverage analysis using relevant tools, Python, SQL Server queries to confirm if the data sourcing needs are met for relevant business scenarios Decipher compliance, information security guidelines and apply them in the context of the datasets/bus­iness requirements Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts Identify data accuracy requirements, solution options and remediation plans in case of a breach Communication and Planning Build, sustain, and leverage relationships with individuals within the area of immediate responsibility when gathering, validating and approving requirements to establish a comfort level in managing relationships and understanding stakeholders’ problems and opportunities Participate in reviews or inspections, in collaboration with the project team, to ensure the quality of the deliverables Develop end-to-end understanding of all aspects of the product, and conduct product demos independently tailored to the consumer needs Participate in user acceptance testing, implementation planning, post‑implementation validations and L2 production incident analysis as needed Lead business modeling, identify automation, streamlining, and simplification opportunities Liaise with the product manager to prioritize the product backlog, identify and manage dependencies Manage risks, assumptions, and constraints for requirements, and communicate to appropriate parties Develop user acceptance testing plans covering the business needs, edge‑case scenarios, and what‑if analysis Develop post‑implementation validation testing plans, identify scenarios and test cases, and execute them to partner with the business teams to obtain necessary assurance toward product releases Manage multiple priorities, own assigned deliverables, manage stakeholder expectations, and seek product owner help in case of escalations What do you need to succeed?

MINIMUM REQUIREMENTS: Must have a bachelor’s degree in computer science, Information Systems, or a related field, and 5 years of work experience Perform business analysis and requirements gathering for data ingestion and transformation platforms outlining the platform’s features and future direction within the financial industry Conduct market research to understand customer needs and market trends in order to solve Capital Markets business problems Oversee the entire product development life cycle, ensuring features are built and deployed in line with client needs and that overall product development aligns with the organization’s strategy Perform data analysis on trading data—including trades, executions, and orders—and run SQL queries to identify anomalies, establish linkages, and define transformation rules Identify patterns and relationships between datasets in SQL, Spark SQL, Jupyter Notebook, and data visualization tools such as Tableau Manipulate, aggregate, and analyze data using programming languages including Python Act as a liaison between Architecture, Development, Quality Assurance, UI/UX designers and end clients Nice to have: Experience in projects running on cloud technologies including Microsoft Azure Experience as a data analyst #J-18808-Ljbffr