Data Specialist

TransPerfect; Canada; On-site; CAD 41,328 - 52,348; Full time

Job summary

A global technology company in Canada is looking for a skilled Data Analyst to join their team. In this role, you will collect and analyze data to provide actionable insights that drive business decisions. The ideal candidate will have over 5 years of experience, proficiency in SQL, and familiarity with data visualization tools like Power BI. This is a full-time position with opportunities for professional growth and collaboration across various teams.

Qualifications

• 5+ years of experience in data analysis or business intelligence roles.
• Strong knowledge of data modeling, ETL processes, and relational databases.
• Familiarity with statistical analysis and predictive modeling techniques.

Responsibilities

• Gather, clean, and organize data from multiple sources.
• Analyze large datasets to identify trends and patterns.
• Develop dashboards and reports to communicate insights.

Skills

Data analysis

SQL

Data visualization

Problem-solving

Communication skills

Education

Bachelor’s degree in Data Analytics, Statistics, Computer Science

Tools

Power BI

Tableau

Azure

Python

PySpark

Job description

Base pay range

$30.00/hr - $38.00/hr

About the Role

Our teams are committed to always being innovative and staying at the forefront. By joining our Training Center Operations Experience team, you will have the opportunity to participate in decisions, programming and deployment related to the technological solutions used by our training center operation team towards the latest software standards of the industry. This is why we need your expertise and passion to complete our team!

We are seeking a highly skilled and experienced Data Analyst to join our dynamic operations team. The ideal candidate will have a strong background in data analysis, with experience in transforming complex datasets into actionable insights. Proficiency in SQL, data visualization tools (such as Power BI), and a solid understanding of data modeling and reporting are essential. Familiarity with statistical methods, predictive analytics, and cloud-based data environments (e.g., Azure) will be considered a strong asset.

Key Responsibilities

• Data Collection & Management: Gather, clean, and organize data from multiple sources, including training sessions, operational systems, and maintenance activities.


• Data Analysis: Analyze large datasets to identify trends, patterns, and anomalies that inform business decisions.


• Reporting & Visualization: Develop dashboards and reports using tools like Power BI or Tableau to communicate insights effectively to stakeholders.


• Performance Monitoring: Track KPIs and operational metrics to support continuous improvement initiatives.


• Collaboration: Work closely with cross-functional teams (operations, IT, finance) to ensure data integrity and alignment with business objectives.


• Decision Support: Provide data-driven recommendations to optimize resource allocation, scheduling, and overall operational performance.

Required Skills & Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field.


• 5+ years of experience in data analysis or business intelligence roles.


• Proficiency in SQL and experience with data visualization tools (Power BI, Tableau).


• Strong knowledge of data modeling, ETL processes, and relational databases.


• Familiarity with statistical analysis and predictive modeling techniques.


• Excellent problem-solving skills and attention to detail.


• Strong communication skills to present complex data in a clear and actionable way.

Preferred Qualifications

• Experience with Azure cloud platforms and/or Fabric.


• Knowledge of Python and PySpark.


• Understanding of data governance and privacy best practices.


• Experience in the aviation, training, or technology environments is an asset.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Analyst, Project Management, and Information Technology

Industries

• Translation and Localization