DESCRIPTION

Cox Communications is looking for a team-oriented problem solver interested in supporting our business through analysis, metrics programs and collaboration on our analytics team. This role will partner with cross-functional teams and stakeholders on ideas and solutions that impact operational results. Brings a curious attitude and the ability to drive results with minimal direction.
 

SPECIFIC DUTIES

• Provides and conducts analytic efforts to support business operations

• Develops tracking metrics and programs to improve and maintain performance of business processes

• Discovers, cleans and makes available new sources of data pertinent to the business

• Identifies, researches, and resolves discrepancies in analytical procedure or cross-functional methods

• Interprets operational requirements for inclusion in studies and analyses

• Provides recommendations for operational efficiencies and process improvements and assists in process automation development to support change initiatives

• Works with outside expertise engaged to assist or deliver analytic projects

• Automate manual processes into repeatable capabilities

• Understands basic statistical methods and knows how to apply them in data transformations where appropriate

• Understands and uses advanced analytical techniques to model complex operations systems and processes to provide better and/or faster insights

• Conducts business impact analyses and validation studies through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report.

• Tests new technologies, tools, and data

Minimum:

• Degree candidate in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or closely related field

Preferred:

• Experience in cloud computing environments such as AWS (preferred), GCP or Azure

• Experience in data visualization solutions and data visualization tools such as Tableau or PowerBI

• Functional knowledge of SQL and one of Python (preferred), Spark or R. Experience with writing software and implementing solutions in these languages

• Basic knowledge of statistics. Familiar with quantitative research methods

• Able to translate technical findings to the larger team in a manner that is easily understandable to those less experienced with analytics

• Strong communication skills