Data Analyst - North York, Canada - Connexall

Connexall
Connexall
Verified Company
North York, Canada

1 week ago

Sophia Lee

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Sophia Lee

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Description

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 endtoend, outcomesbased, 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 analysisrelated 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 decisionmaking 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 datadriven answers to operational and strategic business questions.
  • Experience with storytelling through data (logical reasoning, data visualization, communication).
  • Resourceful and detailoriented 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 teamorientated 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.
  • Selfmotivated and positive with a "cando" attitude.

Job Types:
Full-time, Permanent


Benefits:


  • Casual dress
  • Dental care
  • Extended health care
  • Life insurance
  • Onsite 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)

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