Job Description
Full job description
Data Analytics Solutions Specialist(Job Number: 26002799)
Primary Location:ON-Mississauga
Information Technology
Employee Type:Full-Time
Pay Rate From:$68900
Pay Rate To:$86100
Description:
JOB SUMMARY
We are seeking a detail-oriented and technically strong data professional to design, build, and support modern analytics and reporting solutions. This role works across SQL Server, Python, Power BI, Azure Data Factory, and Microsoft Fabric to transform raw data into clear, reliable, and actionable insights for the business. The ideal candidate combines strong technical execution with the ability to partner closely with business stakeholders, ensuring data is accurate, automated, well-documented, and easy to understand.
DUTIES AND RESPONSIBILITIES
Develop, maintain, and optimize data solutions using SQL Server, Azure Data Factory, and Microsoft Fabric to support enterprise analytics and reporting needs
Design and manage end-to-end data pipelines, from data ingestion through transformation and consumption
Build and maintain analytical and semantic data models that support scalable reporting and self-service analytics
Create and manage Power BI datasets, reports, and dashboards, applying best practices in modeling, DAX, and visualization
Ensure optimal performance across data models, queries, and refresh processes
Use Python to automate data workflows, handle files, and perform data transformation and validation tasks
Implement and manage data security and access controls, including Power BI Row-Level Security (RLS)
Partner with business stakeholders to translate reporting and analytics requirements into scalable, maintainable solutions
Proactively identify, troubleshoot, and resolve data quality, pipeline, and reporting issues
Produce and maintain clear documentation for data models, business logic, validation rules, and operational processes
Qualifications:
QUALIFICATIONS
Degree in Information Technology, Computer Science, Data, or a related field
Relevant hands-on experience delivering data, reporting, or analytics solutions
Strong proficiency in SQL Server for querying, analysis, and supporting reporting solutions
Hands-on experience with Power BI, including data modeling, DAX, report development, refresh processes, and security fundamentals
Ability to write Python scripts for automation, data transformation, and operational support
Proficiency using PySpark within Spark environments (e.g., Fabric notebooks) to develop, optimize, and operationalize scalable ETL/ELT transformations for medallion-style pipelines.
Experience working with Microsoft Fabric for data integration, modeling, and reporting
Solid understanding of basic programming concepts and how they support data analysis and automation
Strong attention to detail, with a focus on data accuracy, consistency, and reliability
Ability to clearly explain technical concepts and results to non-technical audiences
