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Data Analyst
Location : Illinois, Chicago
Refer job # TBUV338269

Job Responsibilities and Requirements: At Data Analysts work with our Data Scientists, and play a strategic role in supporting our research teams to produce valuable insights for our clients. They work collaboratively and help break down silos and barriers across the company to help drive innovative work. A person in this position, under the leadership of Data Scientists, contributes to the design and implementation of algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets; uses various technologies to enable data visualization; and creates applications of general value to the company s business. Responsibilities of a person in this position would include but not be limited to: Interpreting data from multiple sources; Developing programs and scripts for data transformation, integration, or reduction; Enhancing previously developed in-house applications such as those for data coding; And performing various types of analysis involving multiple data sets. Required Skills The successful candidate should have at least a Bachelor's degree in one of the following fields: math, statistics, computer science, data science, or a social science or public policy related field. He/she should have a strong foundation in areas of statistics, mathematics, and computer programming. Preference will be given to those with additional expertise in areas of data mining such as topic modeling, natural language processing, and machine learning. Strong skills in problem solving and quantitative/qualitative analysis are required. The candidate should be able to organize and prioritize work assignments to meet project needs. Preference will be given to those with at least two years experience in positions of increasing responsibility, preferably working with large data sets and conducting statistical and quantitative modeling, melding analytics with programming, data mining, clustering and segmentation. Some familiarity with the social science domain is also preferred. The qualified candidate should have strong communication skills; able to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.



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