Responsible for developing performance measurements and analytical tools to improve profitability, planning / forecasting processes, write code, and queries to generate outputs that support strategy information and decision making; Present updates to key stakeholders, including senior leadership regarding the evaluation of customer centric analytics and meaningful findings to the business; Create and maintain documentation related to the companys software solution and database environment; Perform validation of models to ensure adequacy, define data requirements, gather and validate information, and apply statistical tests; Develop performance measurements and analytical tools to improve profitability, planning, and forecasting processes; Utilize data analytics to write code and queries to generate outputs that support strategy information and decision making; Gather data from various sources and implement advanced statistical methodologies and design interventions to optimize business performance; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Apply advanced analytical techniques to answer customer-centric questions relevant to the business; Partner with other commercial teams and IT to develop and implement customers segmentations relevant to our commercial strategic objectives.
Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F.
Job Location: Fort Worth, TX
Education and Experience Requirements
Masters degree in Business Analytics, Quantitative Management, or related field, plus 2 years of experience as Analyst, Data Scientist, or any occupation in which the required experience was gained, plus demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and to lead others in solving complex analytical problems; Competitive analysis; Database management systems, data structuring, and data architecture; Machine learning methods including correlation, clustering, segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing (Azure Databricks or Spark).
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Thank you.
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