As the Data Analyst, you will play a critical role in leading our next generation business intelligence and analytics products for the US laboratory market
This role involves gathering requirements, designing the data architecture, designing the data integration, designing dashboards, analytics, charts, drill-downs, reports and data extracts
Working closely with the Product Management team, Application Engineers and the Visualization Engineer, the Data Analyst will deliver a best-in-class Business Intelligence and Analytics solution
Requirements Analysis:
Work closely with our product team to convert business and product requirements into clear business intelligence and analytics tasks. Work hand in hand with our development team to analyze data requirements as well as ETL.
Development and Coding:
Design and develop a data architecture for importing and hosting data for the business intelligence product. Own the performance and security of the platform, data and applications.
Quality Assurance and Testing:
Implement and manage a robust testing and quality assurance process. Ensure the data and the application are thoroughly tested for functionality, performance, and security.
Deployment and Maintenance:
Work in concert with our Product Management team on the deployment of the application. Work closely with our development team to support the ongoing maintenance of the service and products.
Compliance and Security:
Work closely with the Security team, implement all required security requirements and ensure that the deployment of environments meets the established security protocols and processes. Maintain robust security measures to protect critical LIS data.
Qualifications
Bachelors or Masters degree in Computer Science, Software Engineering, or a related field
4+ years hands-on experience in developing Business Intelligence solutions using Power BI
Strong SQL and database experience MS SQL, MySQL, complex queries and query optimization
Strong dashboard and report writing skills
Understanding of the Microsoft BI Stack
Experience in ETL related tasks
Proficiency in the following is a definite asset: Power BI, Tableau etc; R, Python script languages
Strong analytical and problem-solving skills
Knowledge of laboratory information systems or healthcare IT is a plus
