Big Data Analyst, Operations

Closing on: Jun 30, 2024
Job ID: REQ2011
Job Category: Operations
Job Type: Full Time
Job Location: Kitchener Ontario Remote
Willingness to travel:: Not required
Languages: English (Mandatory) Spanish (Mandatory)
Education: Bachelor’s Degree (required)
Salary: 58k / year
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Job Summary:
We are seeking a skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing complex data sets, identifying trends, and providing insights to drive business decisions. You will work closely with cross-functional teams to gather requirements, develop data models, and create visualizations. The ideal candidate has a strong background in SQL, business analysis, and data visualization tools such as Power BI and Tableau.

– Collaborate with stakeholders to understand business requirements and objectives
– Design and implement database solutions to store and organize large datasets
– Develop and maintain data models for analysis and reporting purposes
– Perform data cleansing, transformation, and validation to ensure accuracy and consistency
– Analyze complex datasets using SQL queries and statistical methods
– Create interactive dashboards and reports using data visualization tools like Power BI and Tableau
– Present findings and insights to stakeholders in a clear and concise manner
– Identify trends, patterns, and anomalies in data to support decision-making processes
– Collaborate with cross-functional teams to drive data-driven initiatives
– Stay up-to-date with industry trends and best practices in data analysis

– Bachelor’s degree in a relevant field such as Computer Science, Statistics, or Mathematics
– Proven experience as a Data Analyst or similar role
– Strong proficiency in SQL for querying databases
– Knowledge of business analysis techniques and methodologies
– Familiarity with programming languages such as R or Python is a plus
– Experience with data visualization tools like Power BI or Tableau
– Knowledge of database design principles and best practices
– Ability to analyze complex datasets and derive meaningful insights
– Strong problem-solving skills with attention to detail
– Excellent communication skills to effectively present findings to non-technical stakeholders

Expected hours: 40 per week


  • Casual dress
  • Company events
  • Dental care
  • Disability insurance
  • Employee assistance program
  • Extended health care
  • Flexible schedule
  • Life insurance
  • Paid time off
  • RRSP match
  • Tuition reimbursement
  • Vision care
  • Work from home


    • Monday to Friday

    Supplemental pay types:

    • Bonus pay


      • Data analytics: 5 years (required)
      • Power BI: 5 years (required)

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