Senior Data Analyst

Global Technical Talent; Toronto; Hybrid; CAD 125,000 - 150,000; Part time

Job summary

A leading bank in Canada seeks a Senior Data Analyst to support the Data Platform team in designing, documenting, and validating data solutions. This role requires expertise in data mapping, governance, and analytics to ensure high-quality data across complex ecosystems. Candidates must have a Bachelor's degree and 8+ years of experience, including proficiency in SQL, Azure, and data analysis tools. This position is hybrid, requiring 3 days onsite and 2 days remote, with a pay rate of C$75–85/hour for a 6-month contract.

Qualifications

• 8+ years of experience in Data Mapping & Documentation, Data Quality & Validation, Azure-based data environments.
• Strong experience with data mapping, data modeling, and data migration initiatives.
• Proficiency with SQL and data analysis techniques.

Responsibilities

• Lead detailed data mapping activities across source systems and platforms.
• Document field-level mappings, transformation rules, data lineage, and business logic.
• Support testing teams by defining validation rules and performing data reconciliation.

Skills

Data Mapping

Data Quality

SQL

Data Analysis

Excel

Power BI

Education

Bachelor’s degree in Data Science, Information Systems, Computer Science, Business Analytics, or related field

Tools

Azure

Databricks

ETL pipelines

Job description

Primary Job Title

Senior Data Analyst

Alternate / Related Job Titles

• Senior Data Mapping Analyst
• Senior Data Quality Analyst
• Data Platform Analyst
• Cloud Data Analyst
• Data Analytics Lead

Location & Onsite Flexibility

Toronto, ON

Hybrid: 3 days onsite / 2 days remote (subject to change)

Contract Details

• Position Type: Contract
• Contract Duration: Approximately 6 months
• Start: As Soon As Possible
• Pay Rate: C$75–85/hour

Job Summary

The Senior Data Analyst will support the Data Platform team in designing, documenting, and validating enterprise‑scale data solutions that enable secure, reliable, and scalable cloud and data infrastructure. This role plays a critical part in ensuring high‑quality data mapping, governance, and analytics across complex data ecosystems supporting enterprise and customer‑facing solutions. You will work across platforms such as Azure, Databricks, data warehouses, ETL pipelines, and analytics tools, collaborating closely with engineering, architecture, and business stakeholders to deliver trusted data assets at scale.

Key Duties & Responsibilities

Data Mapping & Documentation

• Lead detailed data mapping activities across source systems, data platforms, and target destinations.
• Document field‑level mappings, transformation rules, data lineage, and business logic.
• Ensure alignment with enterprise data standards, governance policies, and architectural patterns.
• Maintain clear, version‑controlled mapping specifications for engineering teams.
• Analyze and profile datasets to identify data structures, quality issues, relationships, and anomalies.
• Identify data gaps, inconsistencies, and risks during migration or integration initiatives.

Stakeholder Collaboration

• Partner with data engineers, architects, business analysts, product owners, and SMEs to gather requirements.
• Translate business definitions into precise technical documentation.
• Facilitate workshops to resolve data ambiguities and align on mapping and transformation decisions.

Data Quality & Validation

• Support testing teams by defining validation rules and expected transformation outputs.
• Perform data reconciliation between source and target systems.
• Collaborate with data governance teams to enhance data integrity, metadata accuracy, and documentation quality.

Reporting & Insights

• Build dashboards, reports, and analytics to support business needs.
• Present findings and recommendations clearly to both technical and non‑technical stakeholders.
• Contribute to self‑service analytics capabilities and standardized reporting frameworks.

Qualifications

Required

• Bachelor’s degree in Data Science, Information Systems, Computer Science, Business Analytics, or a related field.
• 8+ years of experience in:
  • Data Mapping & Documentation
  • Data Quality & Validation
  • Azure‑based data environments
• Strong experience with data mapping, data modeling, and/or data migration initiatives.
• SQL (intermediate to advanced proficiency).
• Experience with data analysis and profiling techniques.
• Proficiency with Excel or similar analytical tools.
• Experience with Power BI or comparable data visualization tools.
• Solid understanding of relational databases, structured data, and data integration patterns.
• Strong communication and documentation skills with the ability to clearly articulate data transformation logic.

Preferred / Additional

• Experience working within large enterprise or financial services environments.
• Exposure to Databricks, ETL pipelines, and cloud‑based data platforms.

About the Company

A top 10 bank in Canada and North America, offering comprehensive financial solutions across retail, commercial, wealth management, and wholesale banking. The organization leverages modern data platforms and analytics to support innovation, regulatory needs, and enterprise decision‑making.

About GTT

GTT is a minority‑owned staffing firm and a subsidiary of Chenega Corporation, a Native American‑owned company based in Alaska. We highly value diverse and inclusive workplaces and partner with Fortune 500 organizations across banking, insurance, financial services, technology, life sciences, biotech, utilities, and retail throughout the U.S. and Canada.

Job Number: 26-00773