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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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