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 recent 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
Robust 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.
Robust 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.

📌 Data Analyst Toronto
🏢 MethodHub
📍 Toronto