⚡ New

Data Analyst

MethodHub

TorontoFull-timeMid LevelOn-site

Job Description

Data Analyst

Location: Toronto (Hybrid) – 4 Days Onsite

12+ Months Contract


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 applications, all data domains
  • Advocate best practises for development across our teams


What you’ll bring

Must Have

  • Expert in SQL, Hadoop, BigData, Hive, Nifi
  • 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 DataStage 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

Desired:

  • Experience of analyzing Lobs, data bases, writing scripts.
  • Experience of connecting to additional sources such as Azure, MySql
  • CI/CD experience

Education:

  • Bachelor’s degree in Computer Science or equivalent.
  • Candidates without Computer Science or Information Technology degree should have significant work experience.

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