Data Analyst Job at Star Pipe Products in Houston

Description Essential Functions Analyze sales and supply chain data to uncover trends and anomalies Develop predictive models and create dashboards to support business decisions Collaborate across departments for data preparation, preprocessing, and actionable insights Duties and Responsibilities Work across departments to enhance data collection processes and improve data usability, ensuring data is actionable and integrates effectively into advanced planning models Collect, clean, and preprocess data from various sources using Alteryx and Snowflake, maintaining and supporting the data architecture Develop and implement machine learning models for sales forecasting, inventory planning, production scheduling, and supply chain optimization Build and maintain dashboards and visualizations in Tableau to present findings and insights, effectively communicating with non-technical stakeholders Monitor and evaluate model performance, refining models as needed to improve accuracy and reliability Requirements Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field 2-5 years' experience in a data analytics role Preferred: Master's degree in Data Science, Statistics, Mathematics, or a related field Knowledge, Skills, Licenses, Certifications, Etc: Required: Strong analytical and problem-solving skills with attention to detail Experience with machine learning concepts, algorithms, and techniques Hands-on, working knowledge with Python (e.g. Pandas, sklearn) and SQL in a data analysis capacity Experience with demand forecasting is a plus Basic knowledge of Tableau or a similar data visualization tool Experience with Alteryx and Snowflake is a plus Ability to communicate complex data insights clearly and effectively to non-technical stakeholders Strong organizational skills and the ability to manage multiple tasks and deadlines Physical Demands The ability to sit for extended periods of time Work Environment Office work environment