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Data Analyst (Contract) (Part-Time)
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Salary
$26k – $35k per year
Location
In office (Hamilton)
Employment
Part-Time
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Stryker scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Stryker is an American medical technology company founded in 1941 by an orthopaedic surgeon who began manufacturing the mobility devices he had designed for his own patients. It sells hip and knee implants, trauma and extremity fixation, spinal implants, surgical power tools and navigation, neurovascular devices, hospital beds and stretchers, emergency response equipment, and the Mako robotic arm used for joint replacement. Listed on the New York Stock Exchange, it is one of the largest orthopaedic device makers in the world. The company is headquartered in Portage, Michigan, United States.
Backed by NEA, Promus Ventures, Lumira Ventures
Work Flexibility: Hybrid
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%
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