Data Analyst - Power BI, SQL, Azure (1823) $65hr

Data Analyst - Power BI, SQL, Azure (1823) Location : Mississauga, ON (Hybrid – 2 days / week onsite)  Contract : 3 Months Skills : 5+ years Data Analyst, Power BI, Create Power BI Dashboards, DAX, MS SQL, Python, Azure, API, AI, Agile  Hours : 40 hours / week  Rate : $65 / hour Start Date : March 2, 2026  Industry : Healthcare Position Overview We are seeking an experienced Data Analyst with strong skills in Power BI, SQL, and data modeling to support our Data Analysis & Technology team. The successful candidate will have at least 5 years of hands-on experience in building dashboards , performing data analysis, and integrating data from multiple sources to drive meaningful business insights.You will collaborate with cross-functional teams, work with complex datasets, and deliver high-impact analytics that support data‑driven decision-making across the organization. Responsibilities

• Gather data from databases, APIs, and external systems.
• Integrate, validate, and maintain large datasets for analysis.
• Ensure data accuracy, completeness, and consistency.
• Clean and preprocess raw data to remove inconsistencies or errors.
• Transform data into structured formats suitable for reporting.
• Apply quality checks to ensure data reliability.
• Analyze data to identify trends, patterns, and performance metrics.
• Use statistical and analytical methods to support business decisions.
• Perform descriptive, exploratory, and predictive analysis as required.
• Develop dynamic dashboards and reports using Power BI ( inventory, sales , operational data).
• Automate recurring reports for efficient insight delivery.
• Present analytical findings in a clear and actionable format.
• Work with business, product, and engineering teams to understand data requirements.
• Translate complex data into clear narratives for non‑technical users.
• Support KPI development and measurement frameworks.
• Maintain compliance with data privacy, security, and regulatory guidelines.
• Implement quality control processes for ongoing data accuracy.
• Monitor data sources for anomalies or inconsistencies.
• Write and optimize SQL queries for immediate data requests.
• Conduct rapid ad-hoc analysis to support urgent business needs.

Requirements

As part of our hiring process, we use AI‑based systems to support the initial screening of applicants.