This position consists of collecting, processing and performing statistical analyses of data. Unlike data scientists they do not create new algorithms, however manage current one’s to be more effective in achieving the goals of the software.
Skills
- Work with IT teams, management and/or data scientists to determine organizational goals
- Mine data from primary and secondary sources
- Clean and prune data to discard irrelevant information
- Analyze and interpret results using standard statistical tools and techniques
- Pinpoint trends, correlations and patterns in complicated data sets
- Identify new opportunities for process improvement
- Provide concise data reports and clear data visualizations for management
- Design, create and maintain relational databases and data systems
- Triage code problems and data-related issues
- Statistical methods and packages (e.g. SPSS)
- R and/or SAS languages
- Data warehousing and business intelligence platforms
- SQL databases and database querying languages
- noSQL databases (MongoDB)
- Programming (e.g. XML, Javascript or ETL frameworks)
- Database design
- Data mining
- Data cleaning and munging
- Data visualization and reporting techniques
- Working knowledge of Hadoop & MapReduce
- Machine learning techniques
Additional Skills
- Analytical problem solving
- Effective communication
- Creative thinking
- Industry knowledge
Certifications