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    • For 35 plus years Bevertec has been at the forefront of providing top level technology professionals to our clients across Canada and beyond.
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Job Post Details

Data Analytical Specialist/Scientist - Senior - job post

Bevertec
3.6 out of 5 stars
Toronto, ON•Hybrid work
$70–$75 an hour - Fixed term contract

Job details

Pay

  • $70–$75 an hour

Job type

  • Fixed term contract

Location

Toronto, ON•Hybrid work

Full 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.


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