Data Analytical Specialist/Scientist - Senior

Posted Yesterday
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Toronto, ON, CAN
In-Office
70-75 Hourly
Senior level
Information Technology • Professional Services • Software • Consulting
The Role
Senior data specialist responsible for leading data mapping, documenting field-level mappings and lineage, ensuring data quality and validation, performing reconciliation, collaborating with engineers and stakeholders, and building reports/dashboards to support analytics and governance across Azure/Databricks enterprise data platforms.
Summary Generated by Built In

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

Skills Required

  • 8+ years experience in Data Mapping & Documentation
  • 8+ years experience in Data Quality & Validation
  • 8+ years hands-on experience with Microsoft Azure
  • Experience with Databricks
  • Experience developing dashboards and reports (Power BI)
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The Company
200 Employees
Year Founded: 1981

What We Do

Bevertec is a Canadian IT firm established in 1981 that provides two core offerings: professional IT staffing and consulting, and software solutions for banking and finance. Its staffing practice connects organizations with technology talent for contract, permanent, and project needs, while its technology division develops secure e-banking and financial products. The company serves clients across Canada and internationally in multiple industry sectors.

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