R Python Programmer / Data Scientist

Role Description

In addition to the responsibilities listed below, this position is also responsible for:

• Programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.)
• Data management, quality control, and reporting for projects as appropriate
• Extracting, manipulating, and merging large databases to create analytical datasets
• Performing simple analytical tasks using SAS or other analytical tools
• Maintaining and troubleshooting software and programs
• Implementing automated reporting and data loading schemes

Essential Responsibilities:

• Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers
• Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines
• Follows procedures and policies and applies data and resources to support projects or initiatives
• Collaborates with others, often cross-functionally, to solve business problems
• Supports the completion of priorities, deadlines, and expectations
• Communicates progress and information
• Identifies and recommends ways to address improvement opportunities when possible
• Escalates issues or risks as appropriate
• Assists with data analysis interpretation by organizing and editing reports and presentations
• Supports data-informed decisions under the guidance of more senior employees
• Assists with data and information gathering for targeted variables in an established systematic fashion
• Supports data preparation for analytic efforts under the guidance of more senior employees
• Assists with the execution of creative data analytic approaches leading to actionable outcomes
• Assists with the development, implementation, and automation of business and reporting solutions

Qualifications

• Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language
• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field

Requirements

• Knowledge, Skills, and Abilities (KSAs): SAS Tools
• SQL/SAS
• Data Extraction
• Data Mining
• Data Visualization Tools
• Statistical Programming Language
• Relational Database Management
• Project Management
• Written Communication