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Business Data analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: MethodHub
Part Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 85000 - 120000 CAD Yearly CAD 85000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Title:
Business

Data Analyst SQL, Hadoop, Big Data, Hive, Nifi/Datastage

Location: Toronto, ON (3 days a week hybrid)

Requirements and responsibilities What you’ll do
  • Working with the Project teams, business stakeholders, technical SMEs, , Data Insights on a growing portfolio of interactive dashboards across many product teams
  • Create new datasets and sophisticated dashboards
  • Understand the data and business processes across all applicaitons, all data domains
What you’ll bring Must Have
  • Expert in SQL, Hadoop, Big Data, Hive, Nifi
  • Strong experience in Azure Data Services analysis, BI Analysis
  • Ability to analyse the construction of existing reports and reverse engineer table relationships etc
  • Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
  • Exp in using Data Stage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
  • Strong at database commands (DDL and DML) and data warehousing implementations models.
  • Hands on exp with the Hadoop ecosystem
    , including HDFS, Hive, Sqoop, NiFi, and YARN.
  • Familiar with Mainframe ESP for job scheduling.
  • Understanding of branched development – dev, qa, prod etc
  • Passionate about data and it’s potential
  • An organized and self-starter approach to accomplish responsible work items
  • Strong communication skills with the ability to present complex messages and stories both IT and Business
  • Business and data analysis skills to gather requirements and translate to technical requirements
  • Be self driven and can multi-task and work on multiple projects at the same time under tight deadlines
  • Ability to navigate ambiguity and simplify complex scenarios with keen business acumen
  • Experience of analyzing Lobs, data bases, writing scripts.
  • Experience of connecting to additional sources such as Azure, My Sql
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