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Business Analyst Leader - IT II (Azure)

Compunnel Inc. - 34 emplois
Toronto, ON
Publié il y a 2 jours
Détails de l'emploi :
Temps plein
Niveau d`entrée

Job Description

Story Behind the Need

  • Business Group: Corporate Functions Technology – supporting marketing, HR, finance, and risk. The Risk Technology organization within this group primarily serves operational risk stakeholders.
  • Project: Focused on the financial risk domain, involving data analytics, reporting, regulatory reporting, and advanced analytics. This role requires technical expertise, with exposure to the financial domain being a plus.
  • Domain Knowledge: Banking, Insurance, Risk, Financial Risk Management, Retention Management

Typical Day in Role

  • Interacting with end users to understand their data and reporting needs.
  • Working with a technology stack centered on Microsoft. Understanding current requirements.
  • Collaborating with internal IT stakeholders, including architects, the data office, and the AML team. Ensuring collaboration with other project stakeholders and fulfilling their requests and best practices around delivery areas.
  • Providing all necessary information to architects to complete the project.
  • In a senior role, assisting offshore junior resources with their questions and being involved in the execution of solutions (Azure, SQL Server, Power BI, Power Apps platform required).

Soft Skills:

  • Strong Communication, Stakeholder Management, Time Management, Adaptability, Problem Solving

Candidate Requirements/Must-Have Skills:

  • 4+ years' experience as junior analyst
  • Familiarity with Microsoft Technologies like SQL, Microsoft Azure tools like Azure Data Factory, Azure Functions, Azure AI Foundry
  • Prior experience in building OLAP and OLTP-based data analytics and business intelligence systems.
  • Requirement Gathering, writing Business Requirement Documentation (BRD) and software specifications.

Nice-to-Have Skills:

  • Familiarity with the financial risk domain

Education

  • Bachelor's degree in a technical field such as computer science or computer engineering. A mathematical background is also acceptable. A Master's degree is preferred.

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