Senior Data BI Analyst

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Job Purpose

The Senior Data BI Analyst will be responsible for designing, implementing, and maintaining data solutions to support business intelligence initiatives across multiple departments, with an emphasis on product performance and strategic analytics. This role requires expertise in BI tools and cloud technologies to create scalable, interactive dashboards and data assets that empower data-driven decisions.

Key Responsibilities

Dashboard & Report Creation: Develop, maintain, and optimize BI dashboards using tools like Power BI, Tableau, and AWS Quick Sight.

Data Modeling & Processing: Design and build efficient data models and processes using SQL, Azure Data Factory, and Fabric to support scalable data solutions.

Advanced Analytics & Machine Learning: Apply machine learning and predictive modeling techniques to generate insights for strategic decision-making. Azure AI/ML Studio preferred.

Cross-Functional Collaboration: Work closely with stakeholders, Finance Data Specialist and/or management to understand their requirements, translate documented business needs into data solutions, and clarify any ambiguities.

Data Quality & Governance: Ensure data integrity and governance through regular audits and data quality checks, collaborating with domain teams to promote data mesh principles.

Experience Requirements

7+ years in BI and data analytics, with hands-on experience across finance, sales, and marketing domains.

Strong Experience with Microsoft tools such as Azure Data Lake, Azure Data Factory, and Azure functions for data processing.

Strong in SQL, query writing, and ETL processes.

Familiarity with Agile methodologies and version control (Git) for efficient project execution.

Experience with Great Plains, OneStream and, CSG is a plus.

Experience in BI tools (Power BI, Tableau, AWS Quick Sight) for dashboarding and reporting is a plus.

Education & Certification Requirements

Bachelor’s degree in data science, Computer Science, Engineering, or a related field.

Preferred Certifications:

○         Microsoft Certified: Power BI Data Analyst Associate

○         Microsoft Certified: Azure Data Engineer Associate

○         Microsoft Certified: Power Platform Solution Architect Expert

○         Microsoft Certified: Fabric Analytics Engineer Associate