- Work with Retail, Manufacturing, Pharmaceuticals, Financial Services organizations to understand business requirements to develop analytical models using techniques such as optimization, statistics and data mining models to achieve business growth and efficiencies utilizing Big Data and Analytics
- Conduct creative inquiry and analysis to support research projects related to data, datasets, and data mining and optimization applications using modeling and data management tools and visualization tools
- Support definition of solution and analytical methodology to address key client business issues
- Document and provide input to the design recommendations
- Collaborate with data producers and repository contributors to develop cost effective and efficient strategies and reliable data streams for managing data
- Develop dashboards using reporting technologies to develop automated system for on-going business operations
- Adhere to implementation guidelines and quality control procedures for projects
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Qualifications
- Master's degree (or equivalent) in Data Science, Operations Research, Analytics, or closely related field of study.
- Experience in the following skills:
- Developing code analytical models using Python, SAS or R
- Visualization tools such as SAS, Tableau, Qlik or Excel VBA
- Developing dashboards and other reports to provide insights and summary view of data and analytical models
- Developing analytical models specific to the retail, financial services, pharmaceutical and other industries
- Developing data management or ETL code in SAS, SQL, Python or similar tools in order to prepare, filter and transform source data so that it can be used as input for fitting analytical models
- Writing complex SQL queries to efficiently retrieve data from relational databases such as Teradata, Oracle or SQL server
- Developing analytical solutions using data mining techniques such as segmentation/clustering on large databases using SAS, R or Python; and Designing methodologies for customer targeting for marketing analytics initiatives
- Have a passion for customer success.
- Strong verbal and written communication skills both technical and non-technical audiences
- Travel nationally/internationally per client needs, typically up to 25%.
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