Associate Data Analyst:

Principal Responsibilities:

• Move client files to analytic disks, confirm quantities, and provide summary of data assets
• Import, examine, clean and transform data for model development and analysis using SAS
• Execute existing and develop new programs to generate model development samples to meet the business requirements of direct and digital marketers
• Conduct thorough quality assurance for model development samples, ensuring reliability and accuracy
• Diagnose and solve problems with data, layouts, and dictionaries
• Understand our statistical models as they relate to the company's production scoring system
• Maintain and update model production schedule to assure adequate and precise timing of samples to Data Scientists

Qualifications and Skills:

• Undergraduate or graduate degree in Math, Computer Science, Data Science or a related discipline preferred
• Must have an aptitude for programming and analysis. Training will be provided in SAS programming.
• Exposure to Python, R or SAS preferred
• Knowledge of Linux, Hadoop and SQL a plus
• Coursework in computer programming, predictive modeling, machine learning, and related disciplines preferred.
• Experience with linear algebra, statistical methods like linear regression, and predictive modeling
• Must be familiar with MS Excel and have well developed and organized work habits
• Must have strong quantitative skills and extensive attention to detail with the ability to investigate raw data
• Proficiency in technical data handling, e.g. writing SQL or Python scripts to manipulate data for 2+ years
• Ability to clean, manipulate, and analyze large datasets to derive actionable insights.
• Must be flexible, adaptive, inquisitive and possess a keen understanding of technology
• Strong oral and written communication skills and convey complex data in a simple, actionable way
• Strong verbal, written, and interpersonal skills are required. This isn't just about data-it's about delivering insights to our clients
• Must have a strong interest in, or a working knowledge of, audience selection techniques for direct mail and digital marketing