Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
Engaging in continuous process improvement to enhance data quality and integrity
Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
Participating in the development of business cases and market development strategies through data analysis and interpretation
Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)

At least a Bachelor's degree
At least 1 years of experience
Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
Demonstrating proficiency in Python and Java programming languages
Utilizing data visualization tools like QlikView and Spotfire
Developing business intelligence solutions using Oracle BI
Engaging in data architecture development and management
Applying macroeconomic and microeconomic analysis skills
Excelling in data analysis and interpretation techniques

Data Engineer – Experienced Associate

Key skills