Data Analyst (Contract) (Part-Time)
At a glance
Mid-level Data Analysis & BI role at Stryker. Hamilton · part-time · CA$36,700–CA$48,800 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and update Power BI dashboards that track operational results, key measures and business trends
- Bring together Excel, SQL database, SharePoint and API data, then clean and check it for reliable reporting
- Use Python, SQL or R to reshape data and automate recurring reporting tasks
- Find patterns and performance gaps in operational data, then present findings as visuals and practical recommendations
- Work with the Operations Data Scientist and other partners to shape reporting solutions and improve data quality
What you bring
- You are currently working toward a bachelor’s degree in data analytics, computer science or another listed field
- You understand the basics of data modeling, relational databases and business intelligence
- You have some exposure to Python, SQL or R and have used Power BI or a comparable visualization tool
Who this fits
This part-time contract runs for five months and requires eight hours of work per week. The role is hybrid in Waterdown, Ontario, with no travel required.
From the employer
Location: 2 Medicorum Place, Waterdown, ON
Contract Term: 5 months
Shift: 8 hours per week
Summary:
As the Data Analyst, you will support the Operations Data Science and Analytics team by transforming complex data into meaningful insights that drive informed business decisions and operational improvements. In this role, you will develop and maintain Power BI dashboards, integrate data from multiple sources, and collaborate with cross-functional partners to deliver accurate, actionable reporting solutions. You will gain hands-on experience with data visualization, programming, and analytical tools while contributing to initiatives that improve data quality, reporting efficiency, and overall operational performance.
What You Will Do:
- Develop, maintain, and enhance Power BI dashboards and reports to monitor operational performance, key metrics, and business trends.
- Connect to and integrate data from multiple sources, including Excel, SQL databases, SharePoint, and APIs, to support reporting and analytics.
- Collect, clean, validate, and transform raw data to ensure accuracy, consistency, and reliability across datasets.
- Utilize programming languages such as Python, SQL, or R to support data manipulation, automate routine processes, and improve reporting efficiency.
- Analyze operational datasets to identify trends, patterns, performance gaps, and opportunities for process improvement.
- Translate analytical findings into clear visualizations, reports, and actionable insights that support business decision-making.
- Partner with the Operations Data Scientist and cross-functional stakeholders to understand business requirements and develop effective reporting solutions.
- Support continuous improvement initiatives focused on data quality, reporting processes, dashboard functionality, and data visualization standards.
What You Need:
Required:
- Currently pursuing a bachelor’s degree in: Data Analytics, Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Basic understanding of data modeling, relational databases, and business intelligence concepts.
- Familiarity with Power BI or similar visualization tools (e.g., Tableau, Looker).
- Exposure to programming languages such as Python, SQL, or R.
$36,700 - $48,800 CAD Annual
Travel Percentage: 0%