Data Analyst

Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000022324Salary Type AnnuallyIndustry RetailSelling Points Work in a hybrid environment combining flexibility and collaboration. Leverage cutting-edge AI tools for impactful data analysis. Drive business decisions through advanced analytics and machine learning.Job DescriptionData Analyst OverviewThe Data Analyst role focuses on building data pipelines and applying machine learning techniques to analyze and model datasets.Collaborate with IT and data teams to support business stakeholders in sales, merchandising, and supply chain operations.Utilize Python and AI tools to extract insights from ERP and DTC data for decision-making.Work in a hybrid environment, combining remote flexibility with on-site collaboration.Gain exposure to advanced analytics platforms like Snowflake and Power BI for reporting and visualization.Opportunity to work with cutting-edge AI tools and machine learning applications.Engage in data governance practices to ensure security, quality, and documentation standards.Ideal for professionals with a passion for data science and a curiosity for AI-driven business solutions.Data Analyst Key Responsibilities & DutiesDesign, build, and maintain ETL/ELT pipelines for data integration from diverse sources into Snowflake.Apply machine learning techniques for demand forecasting, customer segmentation, and anomaly detection.Develop Python scripts to automate data acquisition and processing tasks.Navigate ERP and PLM databases to map tables, joins, and business keys effectively.Leverage AI tools to enhance coding, documentation, and prototype development for analytics use cases.Transform analysis into actionable insights and visual reports for business stakeholders.Ensure compliance with data governance standards, including security, access, and quality protocols.Collaborate with cross-functional teams to align data strategies with organizational goals.Data Analyst Job RequirementsBachelor's degree in Data Science, Computer Science, Statistics, or related field.Minimum of 3 years' experience in data analysis or engineering; 5 years preferred.Proficiency in Python for data manipulation and SQL for relational database management.Knowledge of machine learning techniques and their practical applications in business contexts.Experience with Snowflake, Power BI, and integration tools like Azure Data Factory.Familiarity with wholesale, fashion, or apparel industry data structures is advantageous.Strong analytical mindset and ability to communicate findings to non-technical audiences.Commitment to data governance, documentation, and security best practices.