College Station
Job Description Position Summary: The candidate is responsible for coordinating and assuring integrity of all data/data systems associated with US Modules (USM). S/he will ensure compliance with local, state, and/or federal regulatory requirements. S/he will participate in analysis and interpretation of data analysis and will assist with the preparation of technical reports and summaries. The incumbent will assist in the development/design of research data platforms for data analyses at the company. May assist with other internal management assessment, review, and analysis. Primary Responsibilities: • Performs data preparation/analysis activities and provides statistical support throughout the company., • Serves in either a lead or support capacity as directed by company leadership., • Performs data collection, statistical analyses, power analyses, data quality checks and applicable technical/methodological consultations as needed to support the company’s internal and external stakeholders and assists in the preparation of any resulting proposals, protocols, documents, or presentations., • Maintains data/databases, ensures reliable data quality that is in compliance with internal and regulatory guidelines., • Applies advanced statistical methodologies in solving complex questions related to the company’s production, financial and quality issues., • Disseminates results through presentations to management, quality, supply chain, engineering, production, and finance through scheduled and adhoc requests., • May serve as an investigator on specific occasions., • Provides an ongoing consultation, advice and technical expertise on data analysis and statistical analysis assistance to all levels at the company., • Degree in Statistics, computer science, information system management or a related statistical/scientific field required, • 4-6 years of experience with data analysis and statistical consultation., • Preparing presentations and reports, • Knowledge of system analysis and design, SQL, data upload and statistical data set creation for data analysis, • Experience with relational databases, • Knowledge of standard qualitative and quantitative data collection, and analysis techniques, • Advanced ability to use SPSS, SAS, or other statistical packages and Excel spreadsheets, including writing of syntax/formulas, manipulation of data, analyzing data, creation of output and use of other relevant products.