Job Summary This role is responsible for the use and development of data infrastructure projects & proof of concept business solutions for users in analytics and Data Science. This person works directly with data scientists and analytic engineers on needs and tactical solutions. This role will execute new ETL work tracks for Data Science and analytics from inception and prototyping to fully developed solutions. This is a highly dynamic position that requires a great degree of flexibility, analytic agility, and the ability to rapidly adapt to changing business requirements/needs, new technologies, and data sources. This role requires close integration and partnership with the business/Data Science team and requires business acumen in order to output the best technical solutions. Key Responsibilities Provide support on requirement development and assist in documenting requirements. Support the team in developing analytic data sources for use by data scientists, research, and business users Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints Provide support in breaking down business problems into solvable components by assessing the requirements and/or business implications to arrive at recommended solutions, with minimal supervision. Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision. Help execute the development of new concepts and proof of concept designs. Utilize a multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge. Work with Data Scientists and business partners on embedded cross functional teams; developing subject matter expertise in the business as well as advanced analytics. Leverage \"agile\" data analysis with technology fluency in parallel processing/programming, software/programming languages and OLAP technologies (Ab Initio, Oracle, Microsoft SQL Server Analysis Services, SQL, PL/SQL, MySQL, and Hadoop-JAVA MapReduce). Promote an environment that supports innovation and process improvement. Participate in the development of corporate research data files, information platforms or data spaces designed for exploring and understanding the data. Participate in the development of prototypes for business or research data solutions (dimensional models, model builds) so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation. Demonstrate high degree of analytic agility to meeting fluid and dynamic business needs in this space. Mentor other team members in a business technical environment. Job Qualifications Knowledge/Skills/Abilities/Experience Bachelor's degree or Masters in a field such as Computer Science, Data Architecture, or equivalent skills 2 - 3 years of related experience or equivalent skills & ability Development knowledge and experience in key applications such as Python, Ab Initio, SQL, and PL/SQL Computer Proficiency in Oracle, UNIX, SQL Intermediate Analytic, Data Sourcing, and Content Management skills Ability to extract data from various data sources. Solid experience in time and task management Ability to learn new technologies Strong attention to detail Intermediate written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.Salary Range: NAMinimum QualificationLess than 5 years
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