Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and clean data by reviewing reports, and performance indicators to locate and correct problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Knowledge of statistics and experience using statistical packages for analyzing datasets
Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
Experience with Banking/Finance is an asset
Programming skills in Python, Scala, R, and /or Java. Experience with Spark is preferred
Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
Experience with visualization tools an asset: Power BI/Tableau
Excel, Access, SQL, Tableau, or SAS
Exposure to Kubernetes, Airflow, Jenkins is an asset
High performance, pragmatic, detail-oriented
Eligible to work in Canada
Strong experience using tools for data processing and analytics
Have built insightful data-driven applications
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