Self Employed Data Analyst R Programming Jobs in Toronto, ON

Iris's Fortune 100 direct client is looking to hire BA - Data Analyst for one of our banking clients. Please find below the job description and share with me your updated resume at amarpreet.singh@irissoftware.com.

Position: BA - Data Analyst

Location: Toronto, ON (Hybrid)

Client: Banking

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, competing products that can be leveraged to solve the Capital Markets business problems.

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
• Facilitates 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, gathers the requirements and documents these requirements, business use cases, feasibility analysis, 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
• Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs
• Ensures 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
• Able to perform data coverage analysis using relevant tools, pythons, SQL server queries to confirm if the data sourcing needs are met for relevant business scenarios
• Able to decipher compliance, information security guidelines and apply them in the context of the datasets/ business requirements.
• Ability to 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, identify solution options, identify remediation plans in case of a breach

MINIMUM REQUIREMENTS:

• Must have a bachelor’s degree in computer science, information systems, or a related field, and 5 years of work experience.
• Performing business analysis and requirements gathering for data ingestion & transformation platforms, outlining the platform’s features and future direction within the financial industry
• Conducting market research to understand customer needs and market trends in order to solve Capital Markets business problems
• Overseeing entire product development life cycle, ensuring features are built and deployed in line with the client needs and that the overall product development is aligned with the organizations’ strategy
• Performing data analysis on trading data including trades, executions, and orders and running SQL queries to identify anomalies, establish linkages, and define transformation rules
• Identifying patterns and relationships between datasets in SQL, Spark SQL, Jupiter Notebook, and data visualization tools like Tableau
• Data manipulation, aggregation, and analysis using programming languages including Python
• Acting as a liaison between different teams including 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

Regards,

Amarpreet Singh

200 Bay Str. Toronto, ON, M5H4E9

200 Metroplex Drive, Suite #300 Edison, NJ 08817

One World Trade Center Suite P, 46TH Floor New York, NY 10007

Mail: amarpreet.singh@irissoftware.com | www.irissoftware.com

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