Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
Day-to-day troubleshooting of forecasting systems, mainly working through data anomalies that cause inaccurate forecasts or prevent forecasts’ generation.
Collaborate with the data science team to enhance existing forecasting systems for the trade floors.
Create dynamic object-oriented methods, full stack solutions, and integrations to existing code solutions.
Develop individual Python classes, methods, functions that support the data flow of existing and new projects.
Work on code additions to seamlessly support projects for data flows, including logging and support, with little to no supervision.
Experience in modifying packages, testing, and repository instances to support CI/CD.

Required Technical and Professional Expertise
Hands on experience a Data Analyst role.
Hands on experience SQL working in OLTP, Data Warehouse and Big Data databases.
Ability to collaborate effectively and work as part of a team.
Extensive background in writing complex queries.
Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking.
Good Communication skills & Strong attention to Detail.

Preferred Technical and Professional Expertise
English C1
2+ years writing medium to complex stored procedures a plus.
Denodo Experience a plus.
Big Data Experience a plus (Hadoop, MongoDB, Exadata).