211854 / Data Analyst

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.

With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company.

Procom’s areas of staffing expertise include:
• Application Development
• Project Management
• Quality Assurance
• Business/Systems Analysis
• Datawarehouse & Business Intelligence
• Infrastructure & Network Services
• Risk Management & Compliance
• Business Continuity & Disaster Recovery
• Security & Privacy

Specialties• Contract Staffing (Staff Augmentation)
• Permanent Placement (Staff Augmentation)
• ICAP (Contractor Payroll)
• Flextrack (Vendor Management System)

Activities could include but is not limited to the following: 

• Analysis of data to find patterns
• Development of applications for data gathering and analysis
• Developing related business processes 
• Establishing performance indicators
• Writing procedures and documentation
• Reviewing and documenting business and functional requirements
• Participating in physical inventory audits 
• Software development, coding and scripting 
• Web design and Multimedia programmer 
• Quantitative research 
• Unstructured data analysis 
• Natural language processing 
• Equipment utilization analysis 
• Supply/Demand analysis 
• Inventory level optimization 
• Supply management and procurement 
• Measuring and tracking efficiency indicators

• Experience analyzing large data sets, structuring data based on patterns, commonalities, etc..., and be able to summarize that data for decision making. 
• Experience working on cross functional teams 

Experience with: 

• Information science 
• Signal processing 
• Data mining 
• Data warehousing 
• Performance computing 
• Big Data 
• Data extraction and visualization 
• Business process analysis: process and workflow efficiency 
• Six Sigma training or experience 
• Lean manufacturing techniques 
• Inventory scheduling systems 
• Developing SQL queries 

Software experience that would be helpful: 

• JMP 
  
• Excel 
• MS Visio