Vacancy expired!
- Understanding the business opportunities within and beyond individual franchises to enable profitable growth.
- Developing the analytical solutions to address the opportunities and partnering with business and technology to deploy the solution to achieve impact.
- Working with technology partners to integrate information and solution into a seamless, repeatable and consistent way.
- Being a change agent- continuing to be on the cutting edge of the analytical capabilities outside of the company.
- Building capability within the organization
- Candidates Should Possess: Strong business acumen to understand functional domains within Procurement, Finance and HR, and understand how decisions impact the different parts of our organization Proven ability to understand and work with large disparate data sets and transform the information into clear insights for the business
- Strong communication and influence skills to effectively translate complex analytical models into clear, succinct recommendations to business partners
- Strong focus on customer analytics, including lifetime values, opportunity analysis, customer journey. to drive individualized customer engagement and outstanding outcomes
- Advanced degree in STEM or related field, e.g. statistics, operations research, computer science, mathematics; computer science degree highly preferred
- Bachelor's degree with 3-5 years of work experience in relevant field OR Master's degree with 1-3 years of relevant work experience in data science or related field.
- Strong demonstrated understanding of machine learning methods and applied statistical packages as applied to data analysis within open source scripting languages (e.g. R, Python) is required
- Strong demonstrated understanding of data lifecycle required around data ingestion (ingest data from disparate systems into cloud computing environment), data contextualization (merging large data sets, developing algorithms to merge and clean data); data insights and analytics is required
- Hands-on experience with business applications of distributed computing (e.g. MapReduce, HIVE, HADOOP) is preferred Demonstrated experience in setting up and managing data in cloud computing environment (AWS or MS Azure) is preferred.
- Proven communication and influence skills are required.
Vacancy expired!