Data Analyst

**GlobeStar Systems **is a leader in integrated clinical communication. Our cornerstone product, Connexall®, is an award-winning Enterprise-grade IoT platform, purpose-built for the healthcare industry. Connexall® is a sophisticated and customizable end-to-end integration and communication platform that helps its customers improve clinical workflow, reduce alarm fatigue, and drive better patient and staff outcomes. **Data Analyst** **Primary Responsibilities** - Support the development of Connexall’s analytics and services methodology, reporting packages, and analytical tools. - Act as a vital contributor and participant for the end-to-end, outcomes-based, project delivery methodology initiative. - Partner with stakeholders in other internal departments to gather requirements and define metrics that will drive strategy and business outcomes. - Create meaningful use cases utilizing data tools for customers and appropriate stakeholders. - Work closely with customers to present and train them on Connexall’s data analytics and business insights offerings. - Use research skills, data analytical skills, and Connexall knowledge to review alarm data creating pre/post implementation differences and identify areas for further clinical consulting engagements such as, but not limited to, alarm flows and timers. - Continuously challenge assumptions, dig beneath the surface, and use feedback to improve and push the boundaries of the work. - Be responsible for data analysis-related documentation and knowledge sharing. - Recommend and assist in developing ETL solutions and data architectural changes. - Provide input on Connexall product design and work closely with the Solutions Development team. - Contribute to, support, and take charge of the Solutions Innovation and Design team’s data analytics initiatives when required. - Take the lead on data analytics projects with customers. - Act as an analytics SME and educate stakeholders, internally and externally, to foster more knowledge and adoption around Connexall’s analytics capabilities. - Other duties as required. **Qualifications** - A Bachelor’s degree in Computer Science, Engineering, Technology, Business, or other relevant fields. - 3+ years of relevant experience, demonstrated knowledge, and decision-making abilities in a data analyst role. - Familiarity with SQL and ability to transform raw data into useful datasets. - Experience in Data Science or Healthcare is a strong asset. - Experience with BI tools such as Power BI, Looker, Tableau, Mode, etc. - Advanced Excel, some experience with Power Pivot and SQL preferred. - Power BI and/or VBA experience a plus, or a desire to learn. - Highly competent in Office 365 with emphasis on PowerPoint, Excel, and Visio. - Demonstrated business acumen with a drive and curiosity to seek data-driven answers to operational and strategic business questions. - Experience with storytelling through data (logical reasoning, data visualization, communication). - Resourceful and detail-oriented with the ability to effectively prioritize and execute tasks while under pressure. - Exceptional research and analytical skills. - Strong interpersonal and oral and written communication skills. - Excel in working in a team-orientated and collaborative environment. - Knowledge of and ability to utilise at least one scripting language (Python, R, etc.) is a strong asset. - Demonstrated strong listening, written, oral, and presentation skills with the ability to discuss highly technical concepts to a variety of audiences. - Strong organizational and time management skills. - Self-motivated and positive with a "can-do" attitude. **Job Types**: Full-time, Permanent **Benefits**: - Casual dress - Dental care - Extended health care - Life insurance - On-site parking - Paid time off - RRSP match - Tuition reimbursement - Vision care - Work from home Schedule: - 8 hour shift - Day shift Supplemental pay types: - Bonus pay **Education**: - Bachelor's Degree (required) **Experience**: - Data analytics: 1 year (required) - SQL: 1 year (preferred) - Power BI: 1 year (preferred)