Must Haves: Must have a minimum of three years of hands on programming experience using Python & SQL - Must have hands on experience working with large data sets and relational databases.
Role Description
- Contribute to gathering business requirements to be implemented in the Mercury Plus Forecasting Engine
- Participate in the data preparation, code development, and reporting to support baseline and ad hoc analytics
- Provide timely, relevant, robust analyses to support business decisions
- Contribute to automation of processes related to implementation of various methods and models in the Forecasting Engine
- Collaborate with team members and interact across organizational lines to meet business objectives
- Follow appropriate controls and standards established to maintain and create documentation for processes & reports
- Analyze / explain results, review trending and perform sensitivity analysis
Qualification
- Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 3-5 years of relevant work experience
- Work experience and proficiency in programming and/or data mining languages such as SQL, Python
- Experience working with large data sets and relational databases
- Strong quantitative, analytical, and problem-solving skills
- Strong presentation skills