
Data Analyst
Posted Sep 10

Posted Sep 10
This is a fully remote position, open to applicants in Canada.
• Collaborate with project teams, business stakeholders, technical subject matter experts, and Data Insights on an expanding collection of interactive dashboards across product teams.
• Develop new datasets and advanced dashboards.
• Gain a comprehensive understanding of data and business processes spanning applications and data domains.
• Promote best development practices among teams.
• Proficient in SQL, Hadoop, BigData, Hive, and NiFi.
• Capability to analyze the structure of existing reports and reverse engineer table relationships.
• In-depth knowledge of the Retail Domain.
• Experience with various phases of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
• Familiarity with DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
• Solid understanding of database commands (DDL and DML) and data warehousing implementation models.
• Practical experience with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
• Familiarity with Mainframe ESP for job scheduling.
• Knowledge of branched development environments (dev, QA, prod, etc.).
• Passionate about data and its capabilities.
• Experience in analyzing lines of business and databases, as well as writing scripts.
• Proficient in connecting to additional data sources such as Azure and MySQL.
• Experience with CI/CD practices.
• Bachelor’s degree in Computer Science or a related field.
• Candidates lacking a Computer Science or Information Technology degree should possess considerable work experience.
• Access to training and certification opportunities.
• Bonuses and financial assistance.
• Opportunities for social engagement.
• Competitive compensation package.
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