Data Analytical Specialist/Scientist - Senior
- Toronto, ON, Canada
$70 to $75 CAD / hour
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Job details
- Pay
- $70 to $75 CAD / hour
- Posting language
- English
- Posted
Original job description
Job Title: Data Analytical Specialist/Scientist - Senior
Location: Hybrid – 3 days onsite / 2 days remote (subject to change)
Contract: 6 month contract
Pay Rate: $70 - $75/hr depending on experience.
About the Role
Our client is looking for an experienced Data Analytical Specialist/Scientist to join a high-performing Data Platform team. This team is responsible for delivering scalable, secure, and reliable data and cloud infrastructure solutions across the enterprise.
You will play a key role in ensuring data accuracy, integrity, and alignment across complex data ecosystems, working with modern technologies including Azure, Databricks, and enterprise data platforms.
Must-Have Requirements
- 8+ years of experience in Data Mapping & Documentation
- 8+ years of experience in Data Quality & Validation
- 8+ years of hands-on experience with Microsoft Azure
Key Responsibilities
Data Mapping & Documentation
- Lead detailed data mapping across source systems, data platforms, and target environments
- Document field-level mappings, transformation logic, data lineage, and business rules
- Ensure alignment with enterprise data standards, governance, and architecture
- Maintain clear, version-controlled mapping documentation for engineering teams
- Analyze and profile datasets to identify structures, relationships, and data quality issues
- Identify data gaps, inconsistencies, and risks during migration or integration
Stakeholder Collaboration
- Collaborate with data engineers, architects, business analysts, and product owners
- Translate business requirements into technical mapping documentation
- Facilitate workshops to resolve data ambiguities and define business rules
Data Quality & Validation
- Define validation rules and expected outputs for testing teams
- Perform data reconciliation between source and target systems
- Partner with data governance teams to improve data quality and metadata accuracy
Reporting & Insights
- Develop dashboards and reports (e.g., Power BI) to support business needs
- Present insights and recommendations to both technical and non-technical stakeholders
- Contribute to self-service analytics and reporting frameworks
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
BEV123
More about this job
Responsibilities
The senior data analyst at Bevertec will map data from source systems to target platforms and document field-level logic, lineage and business rules. They will check data quality, reconcile source and target systems, and build dashboards and reports for business teams.
Requirements
Candidates need at least 8 years of data mapping and documentation experience, 8 years of data quality and validation work, and 8 years of hands-on Microsoft Azure experience. Strong stakeholder communication and facilitation skills are also expected.
Skills
- Azure
- Databricks
- Power BI
- Data mapping
- Data lineage documentation
- Data profiling
- Data reconciliation
- Data validation rules
- Data governance
- Metadata accuracy
- Business rules documentation
- Requirements translation
- Stakeholder facilitation
- Dashboard development
- Report development
- Data migration
- Data integration
Categories
- Data & Analytics
- Technology
- Consulting
Keywords
- Data Mapping
- Data Quality
- Data Validation
- Data Lineage
- Data Reconciliation
- Microsoft Azure
- Azure
- Databricks
- Power BI
- Data Platform
- Data Governance
- Metadata Management
- Data Migration
- Data Integration
- Data Analytics
- Data Analyst
- Data Scientist
- Business Intelligence
- Self-Service Analytics
- Enterprise Data
Seniority
Senior
Tools
- Microsoft Azure
- Databricks
- Power BI
Languages
- English