Bayshore HealthCare Looking for Data Analyst at Mississauga, Ontario, Canada Full Time

Bayshore HealthCare is one of the country’s leading providers of home and community health care services and is a Canadian owned company. Bayshore HealthCare is proud to showcase its achievement as a Platinum member of Canada’s Best Managed Companies Program every year since 2006. In 2015, Bayshore achieved the designation for Best Practice Spotlight Organization from the Registered Nurses’ Association of Ontario. Bayshore Healthcare is also Canada’s Best Employers Forbes 2023 list.

Reporting to the Manager, Enterprise Data Mgmt. and Analytics, the Data Analyst will contribute to evolving a data culture within Bayshore HealthCare. They will work with other members of the Enterprise Data team, as well as Division-specific Analytic teams to define requirements and analytic use cases for Power Insights, the Bayshore HealthCare Enterprise Analytic environment. In this capacity, the Data Analyst will be accountable for compiling, and processing data, developing reports and data visualizations, as well as testing data solutions. This will primarily be for data that is pertinent to the overall enterprise but may also include division-specific data, finance data and HR data as well. As a member of the Enterprise Data team, the Data Analyst will also act as an Enterprise Data “ambassador” providing guidance, education, and support to others within the organization in the areas of analytic queries, education on analytic tools, and selection of data visualizations that represent information in the most effective manner.

This position requires experience in report development (preferably with Microsoft Power BI), T-SQL, Data Warehousing and/or database concepts and strong business requirements gathering skills.

Duties And Responsibilities

• Work with the Business and Support units within Bayshore to define the requirements for key operational reporting metrics and analytic use cases
• Work with the Enterprise Data Architecture and Engineering teams to define and design analytic environments that best support the organizations analytic requirements
• Document requirements for specific reporting and analytics based on business needs
• Conduct detailed data analysis to support the creation of data definitions, business transformation logic, and source to target mapping specs
• Assist Sr. Data Analysts with developing detailed data queries to extract data from primary or secondary data sources and build the data stories needed
• Work with Sr. Data Analysts to assess the data, and build descriptive, prescriptive, diagnostic, and predictive data analytics
• Design, develop and test Enterprise-level, and division specific reports and data visualizations, based on defined test case scenarios
• Respond to divisional data inquiries, and provide data content to fulfil those requests, including partnering with colleagues to solve and respond to data challenges.
• Identify and escalate data and content integrity issues on a timely basis to the Data Management team, and assist in defining Data Quality “campaigns” to address these issues
• Assist the Manager, Enterprise Data Mgmt. and Analytics with the development and implementation of policies and procedures related to data initiatives
• Work collaboratively within a cross-functional team environment to seek input in analyzing and defining business processes as related to data.
• Support the Enterprise Data team with analytics projects and ad-hoc requests
• Use statistical tools to interpret data sets, for operational, diagnostic, and predictive analytics efforts.
• Identify, analyze, and interpret trends or patterns in data sets.
• Participate in ongoing internal and/or external continuing education activities.
• Adhere to Bayshore Policies and Procedures.
• Maintain confidentiality of client and corporate information and discusses same only with appropriate Bayshore personnel.
• Complies with all Canadian provincial and federal privacy legislation.
• All other duties as required.

REPORTING RELATIONSHIPS

This position will report directly to the Manager, Enterprise Data Mgmt. and Analytics

Education

Post-secondary degree in Business Administration, Computer Science, Math, Engineering, Statistics, Healthcare Informatics, or a related discipline or equivalent work experience.

Formal training in Data Science/Machine Learning.

Experience/Skills Required

• Business Analysis and Critical Thinking: Experience in defining business requirements coupled with the ability to problem solves and analyze/ interpret complex data and information for

reporting, business intelligence and decision support purposes in a collaborative work environment.

• Data Analysis & Reporting: Strong understanding of data modeling, data analysis, report writing and associated principals and methodologies. Conceptual knowledge of database design theories and practical experience with SQL. Above average written and spoken communication and interpersonal skills required. Ability to create clear and reliable written documentation on

report requirements, design,user guides, processes and similar documents.

• Report Writing and Decision Support Tools: Knowledge and experience with BI/reporting tools such as Microsoft reporting (SSRS) and analysis (SSAS), Qlik, Tableau , Excel or the products is an asset.
• Project Management/Coordination: Excellent project coordination and time management skills including the ability to prioritize multiple, conflicting demands.
• Healthcare: Excellent demonstrated understanding of healthcare and/or knowledge of the homecare sector.
• Healthcare/Accounting Software: Knowledge of point-of-care, clinical, scheduling, accounting and/or back office software for the homecare or managed services solutions for the healthcare sector is a strong asset.
• Continuous Improvement: A commitment to continuous improvement principles including a commitment to excellence and the ability to facilitate innovation and creativity.
• Communication: Ability to form effective working relationships and communicate well with all levels including a client orientation and excellent interpersonal, diplomacy and presentation skills.
• Customer Data Analysis: Experience building Machine Learning models, customer profiling/churn/segmentation
• Data Science/Machine Learning: End to end experience in data science including data cleaning, preparation, modelling, prototyping and operationalization . Using tools such as : Python, R, Weka
• Must be time flexible and willing to work extended hours when required by deadlines or system issues.
• Ability to work collaboratively, and as a lead when required, with multiple departments, clients and stakeholders
• Must possess a strong quality focus, highly professional and diplomatic to ensure organizarional and personal success.

Primary Location

ON-Mississauga