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Data Analyst

Job in Mississauga, Ontario, Canada
Listing for: Apptoza Inc.
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 85000 - 105000 CAD Yearly CAD 85000.00 105000.00 YEAR
Job Description & How to Apply Below

We have an immediate contract opportunity with one of our esteemed clients for a Data Analyst position.

ROLE: DATA ANALYST CONTRACT EXPERIENCE

REQUIRED:

10 & ABOVE

We are looking for a detail-oriented and analytical Data Analyst to support business decision-making through meaningful insights derived from data. The ideal candidate will have strong experience in SQL, Excel, data visualization, data analysis, statistical techniques, and data modeling.

KEY RESPONSIBILITIES
  • Collect, process, and analyze data from multiple sources, including databases, spreadsheets, and APIs.
  • Develop and maintain dashboards and reports using Power BI, Tableau, or Excel.
  • Work closely with stakeholders to understand data requirements and provide actionable business insights.
  • Analyze large datasets to identify trends, patterns, and opportunities.
  • Monitor data processes and recommend improvements to increase efficiency and accuracy.
  • Perform Root Cause Analysis (RCA) and communicate findings to cross-functional teams.
  • Maintain data integrity, accuracy, and quality across systems and reports.
  • Present complex data and analytical findings in a clear and concise manner.
REQUIRED QUALIFICATIONS
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • 4+ years of experience in Data Analysis
  • Strong hands-on experience with SQL and Excel.
  • Experience with at least one data visualization/BI tool such as Microsoft Power BI or Tableau.
  • Familiarity with statistical techniques and data modeling.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and accuracy.
  • Ability to translate complex data into meaningful business insights.
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