JOB SUMMARY We are seeking a detail-oriented and technically strong data qualified 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 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

OTHER SKILLS AND ABILITIES Experience building and managing semantic models in Power BI or Microsoft Fabric

Understanding of data warehousing concepts and analytical data design

Experience working with large or complex datasets

Familiarity with automated refreshes, scheduling, and operational monitoring of reports

At Bayshore Healthcare, our commitment to Equity, Diversity & Inclusion is our strength. This is how we bring our vision of being the difference in the lives of those we care for, work with and in our communities. We have a great sense of pride in creating a culture of belonging, where individual differences are embraced and celebrated, through programs, resources and policies that support each individuals purpose, potential and wellbeing.

At Bayshore Healthcare

Ltd., and its subsidiaries, we are committed to fostering an inclusive workplace and operate in full compliance with all Provincial and Territorial legislation pertaining to Human Rights Codes and Accessibility requirements. To ensure continued compliance throughout the recruitment and selection process, we encourage candidates to disclose any accommodation needs they may have.

📌 Data Analytics Solutions Specialist (Toronto)
🏢 Bayshore HealthCare
📍 Toronto