Data Analyst
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-06-04
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
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.
Experience8-10 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.
- 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 level:
Mid‑Senior level - Employment type:
Full‑time - Job function:
Information Technology - Industry: IT Services and IT Consulting
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