Senior Data Analyst

2 months ago

Oakville, Ontario, Canada Fengate Asset Management Full time
About the Role

Fengate Asset Management is seeking a highly skilled Senior Analyst, Data Analytics to contribute to our team's success. As a leading Asset Management firm with over $7 billion in assets under management, we specialize in Infrastructure, Real Estate, and Private Equity investments and are committed to delivering exceptional value to our clients.

Key Responsibilities
  • Data Solution Development and Maintenance
    • Maintain and enhance our analytical solution, ensuring data accuracy, integrity, and optimal performance.
    • Develop and implement data models, transformations, visualizations, and customized dashboards using Power BI to meet business requirements.
    • Utilize Excel Power Query and VBA to streamline data processing tasks and automate workflows.
    • Develop and implement best practices for data upload and ensure accuracy in data outputs.
    • Design and optimize SQL queries to extract and manipulate data from various data sources and Azure SQL.
  • Stakeholder Management and Collaboration
    • Gather, review, and analyze business requirements from various business units.
    • Maintain and manage the backlog of requirements, conducting prioritization calls with business stakeholders to manage expectations.
    • Manage project timelines for deliverables.
    • Collaborate with cross-functional teams to identify and understand business needs and translate them into actionable analytics solutions.
    • Provide technical guidance and support to stakeholders, including training on analytical solution usage and troubleshooting.
    • Collaborate and liaise between various business units to ensure alignment and timely communication on data-related projects.
  • Continuous Improvement and Innovation
    • Proactively identify areas of enhancement with a mindset of continuous improvement.
    • Stay up to date with the latest industry trends, best practices, and advancements in analytical tools and technologies.
  • Data Pipeline Management
    • Monitor and troubleshoot data pipelines, ensuring smooth data flow and resolving issues or bottlenecks.
    • Work with Microsoft Azure services, such as Data Factory, to orchestrate data movement and processing workflows.
    • Develop and maintain Azure logic apps workflows.
  • Documentation and Governance
    • Maintain documentation related to the analytical solution, including data models, data dictionaries, and technical specifications.
    • Ensure compliance with data management, governance, and security best practices.

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