Data Analyst (PEGA)
The role involves analyzing large data sets and relational databases to create and present reports for cross-functional stakeholders. The analyst will also focus on understanding customer behavior and executing targeted leads and campaign segmentation.
- On-site
- Toronto, ON
- Posted Jul 23, 2026
- Apply by Aug 22, 2026
- 1 position
Job summary
TekStaff's Client has a current vacancy for Data Analyst - 4 Must Have skills: 1) 8+ years of experience in Data Analysis with strong ability to create and present reports to cross-functional stakeholders 2) 8+ years’ experience working with large data sets and relational databases with advanced SQL skills 3) 2+ years of recent experience with Python 4) Previous hands on experience with Data Bricks. Nice to have: 1.Familiarity with banking products is highly preferred. 2. Previous experience with Pega CDM is nice to have 3. Experience with Google Cloud Platform 4. Experience with targeted leads/campaign execution and segmentation Soft Skills Required: ● Strong Communication and collaboration skills ● Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior ● Analytical mindset Education: • Bachelors Degree - Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science • GCP Certification is nice to have. TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
What you’ll do
The role involves analyzing large data sets and relational databases to create and present reports for cross-functional stakeholders. The analyst will also focus on understanding customer behavior and executing targeted leads and campaign segmentation.
Requirements
Candidates must have over 8 years of experience in data analysis and SQL, with at least 2 years of recent Python and hands-on Databricks experience. A bachelor's degree in a quantitative field is required, and familiarity with banking products or GCP is preferred.
Listed skills
- Data analysisPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- SQL
- Python
- Databricks
- Pega CDM
- Google Cloud Platform
- Reporting
- Relational Databases
- Campaign Execution
- Segmentation
- Quantitative Analysis
- Problem Solving
Job areas
- Data & Analytics
- Finance & Accounting
- Technology
- Software
- Engineering
Additional details
- Minimum education
- Professional degree
- Minimum experience
- 10+ years
- Apply by
- Aug 22, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available