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Data Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Warehousing, Database Administrator
Salary/Wage Range or Industry Benchmark: 45 - 50 CAD Hourly CAD 45.00 50.00 HOUR
Job Description & How to Apply Below

Data Analyst (Hybrid - 2 days in office/week)

Location:

Toronto, Ontario, Canada

Salary: CA $45.00 - CA $50.00 per hour

Posted 2 weeks ago. Be among the first 25 applicants.

Experience

8-10 years in finance and data analysis roles.

Responsibilities
  • Document data dictionaries, metadata, requirements, and mappings for banking domain.
  • Apply data quality and data governance principles, including metadata lineage and security standards across cloud and on‑prem platforms.
  • Translate business needs into detailed functional and technical specifications for Informatica Power Center mappings, workflows, and transformations.
  • Validate ETL loads, troubleshoot data discrepancies, and collaborate with technical teams to resolve issues.
  • Support development, testing, and implementation of Informatica Power Center jobs, ensuring alignment with business rules and data governance standards.
  • Perform end‑to‑end data analysis, including source‑to‑target mapping, data profiling, and gap identification using Informatica and SQL.
  • Understand how data is structured, connected, governed, and used across data products.
  • Leverage data models, product lifecycle knowledge, and stakeholder management experience.
  • Ingest and transform large datasets using Databricks (PySpark, SQL) and Informatica Power Center workflows.
  • Create comprehensive Incoming Data Collections (IDCs) for cloud ingestion, outlining data sources, ingestion frequency, file formats, orchestration, and Azure target layers.
Qualifications
  • Strong documentation skills (data dictionaries, metadata, requirements, mappings).
  • Experience with data quality, data governance, lineage, and security standards.
  • Proficiency in Informatica Power Center and SQL for mappings, workflows, and transformations.
  • Knowledge of cloud (Azure) and on‑prem data platforms.
  • Experience with Databricks (PySpark, SQL) for large data ingestion.
  • Excellent problem‑solving skills and ability to work cross‑functionally.
Seniority & Employment
  • Seniority level:
    Mid‑Senior level
  • Employment type:

    Full‑time
  • Job function:
    Information Technology
  • Industry: IT Services and IT Consulting

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