-Identify develop manage and execute analyses to top defects areas of opportunity and present projects recommendations that will drive viable business in our business and operations for emerging countries (Brazil Mexico Singapore MENA JP IN and Australia)
-Demonstrate excellent analytical and technical abilities and use data to make recommendations that will drive key business decisions.
-Be a self-starter who is comfortable with ambiguity has attention to detail and can work in a fast-paced environment.
-Work in a collaborative and international team environment.
-Develop and execute Benchmark studies internal and external
Key job responsibilities
- Applying your deep analytic and business skills to extract meaningful insights from large complicated datasets;
- Gather business requirements from the stakeholders and translate them into data and analytic requirements;
- Partner with fellow Data Engineers/BIEs to implement scalable automated infrastructure for data extraction processing computation and delivery;
- Review and audit existing ETL jobs and SQL queries;
- Help with the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions;
- Monitor and troubleshoot operational or data issues in the data pipelines or existing BI processes;
- Identify and recommend opportunities to automate systems and tools;
- Analyze data from many sources and present key findings to improve products customer experience and other business metrics.
About the team
The FCF/VBI (Viable Business Initiative) identifies and implements opportunities to maximize the profitability of our business models and maintain efficient and sustainable operations. FCF/VBI is a component of the overall business planning process and will include a series of actions to ensure continuous business improvement and cost reduction in ROW countries. The FCF applies to launched businesses and defines the mechanisms necessary for implementation in future sustainable launches.
- Experience analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.