Analyst, Virtual Operations

2 weeks ago


Montréal QC, Canada Infotree Global Solutions Full time

Job Title: HR Data Analyst Location: Montreal, QC
Duration: 10 Months Contract

Job Description

KEY SKILLS AND QUALIFICATIONS
• Bachelor’s degree or higher in Computer Science, HR, HRIS, Information Technology, Data Science, or similar field
• 7 overall experience with at least 4 years’ experience in analytics, business intelligence, HRIS, HR or similar roles.
• Strong stakeholder expectations, prioritization, presentation, timeline negotiation skills
• Experience with fostering strong working relationships with Sr managers and partners
• Experience in People Analytics
• Experience in building and managing data infrastructure
• Experience in data mining, text analytics, data collection strategies
• Excellent verbal and written communication skills with an ability to convey ideas and effective story-telling through data, reports and dashboards.
• Client-focused, ability to effectively collaborate and communicate with the respective HR and Business stakeholders.
• Strong analytical and problem solving skills with high attention to detail and accuracy.
• Experience with HRIS Systems (Peoplesoft, WorkDay HCM is an asset but not mandatory as training can be provided)
• Outstanding operational and organizational skills in addition to detailed oriented work
• Ability to work under pressure to meet deadlines
• Self-starter, proactive in seeking information and approaching business problems with creativity
• Able to work well independently and in a team environment
• Experience working in a large, complex organization is an advantage

Preferred Qualifications
• Proficient with PowerBi
• Experience with data sources and reporting tools; HCM PeopleSoft and PeopleSoft Queries
• Coding knowledge and experience in several languages: for example, R, Python, Java, MS Excel/VBA, , etc.
• Experience with database programming languages including SQL
• Knowledge of Business Objects
• Experience in one or more of the ETL platforms such as KNIME,



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