Responsibilities
Manages and improves existing reporting systems. Performs complex analyses. Conducts and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes. Provides technical support and mentoring and training to less-senior analysts. Develops methodology and processes for prioritization and scheduling of projects. Analyzes problems and determines root causes. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Qualifications/Skills
Advanced analytical knowledge of data Conducting big data analysis Developing software and data models Developing algorithms Business analysis Business process modeling—enterprise to department level Process oriented with great documentation skills.
Education, Experience, and Licensing Requirements
Bachelor’s degree in economics, computer science, management information systems, or related field or equivalent related experience 2-3 years data analyst or related experience (preferred but not required), including proficiency with analytical software or equivalent related education -Proficiency in statistics, data analysis, and research methods