SR Business Intelligence Analyst with experience developing data pipelines within the investment industry
S.i. Systèmes Toronto
Our client is seeking a SR Business Intelligence Analyst with developing data pipelines within the investment industry Responsibilities: Provide support services such as root-cause identification, debugging, training, and consultation for BI and reporting-related concerns.
Develop data pipelines to extract, load, and transform data from various sources into cloud-based data warehouses and data lakes. Collaborate with developers, data architects, and data engineers to design and implement scalable, reliable data products on cloud platforms.
Work with stakeholders and end-users to design, build, and maintain BI and data development solutions, ensuring data accuracy and clarity across business processes. Support transformation efforts by migrating source systems to client's modern data platform.
Coach teams on best practices for data usage, analytics, and visualizations. Assist users in locating the required information for reporting and analysis. Monitor and maintain the performance of cloud-based data warehouses and data pipelines, troubleshoot issues, and optimize query performance.
Nice-to-Have Skills: Experience with DevOps pipelines, continuous integration/delivery, and automated testing (unit, functional, performance). Bachelor’s degree in Computer Science, Software Engineering, or a relevant field. Experience in data modeling and data transformation technologies such as dbt.
Develop data pipelines to extract, load, and transform data from various sources into cloud-based data warehouses and data lakes. Collaborate with developers, data architects, and data engineers to design and implement scalable, reliable data products on cloud platforms.
Work with stakeholders and end-users to design, build, and maintain BI and data development solutions, ensuring data accuracy and clarity across business processes. Support transformation efforts by migrating source systems to client's modern data platform.
Coach teams on best practices for data usage, analytics, and visualizations. Assist users in locating the required information for reporting and analysis. Monitor and maintain the performance of cloud-based data warehouses and data pipelines, troubleshoot issues, and optimize query performance.
Design and implement data processing workflows optimized for cloud-native environments. Work closely with business analysts to understand their requirements and design effective reporting and analytical models. Must-Have Requirements: 7+ years as a Business Intelligence Analyst , designing, developing, and maintaining data pipelines within the finance or preferably the investment industry Deploying business intelligence solutions using Power BI, Tableau, or similar data visualization tools.
Experience working with Cloud Platform services, particularly Azure. Strong coding skills in Python and SQL with knowledge of software engineering principles around testing, code reviews, and deployment. Hands-on experience with Databricks, PySpark, and Python for data processing and analytics.Nice-to-Have Skills: Experience with DevOps pipelines, continuous integration/delivery, and automated testing (unit, functional, performance). Bachelor’s degree in Computer Science, Software Engineering, or a relevant field. Experience in data modeling and data transformation technologies such as dbt.
Database architecture, design, implementation, and operations experience. Exposure to business intelligence visualization software like Microsoft Power BI, TIBCO Spotfire, Tableau, etc. Apply
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Overview
Languages
English
Education
• College/CEGEP
• Hospitality administration/management, general
• Restaurant/food services management
Experience
3 years to less than 5 years
On site
Work must be completed at the physical location....