EPITEC is hiring: Data Analyst - Project / Remote in Englewood Cliffs

Proficient in Alteryx (data ETL) and Tableau (dashboards) Mon-Thu onsite, Fri WFH. The Retail Data Analyst in the CE Retail team enables data-driven decision-making, drives operational efficiency, and enhances customer satisfaction across the retail organization. Data Preparation and Integration: o Develop and execute data ingestion and integration strategies to combine data from disparate sources. o Use SQL, ETL tools and/or scripting languages to join datasets based on defined relationships and business rules. o Ensure data accuracy and consistency across integrated datasets. • o Develop and manage dashboards and reports to analyze sales / inventory / visits / training data, identifying trends and patterns that inform inventory management, pricing strategies, and promotional activities for CE products. o Process and analyze survey data related to the shopping experience for CE products, focusing on customer satisfaction, preferences, and pain points. • Sales Team Performance Evaluation: o Assess the performance of sales teams using targets and metrics such as sales lift, conversion rates, and customer engagement to CE products. o Work closely with field sales, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division. Data-Driven Strategy Development: o Leverage data analytics to identify opportunities for growth and innovation within the CE retail segment. o Develop and execute strategies that enhance competitiveness and customer satisfaction in the CE market. Bachelor’s degree with 3 years of prior experience in Business Intelligence, Data Analytics, Retail Insights, or related area of expertise • Proficient in designing and implementing data ingestion, data preparation and automating ETL (Extract, Transform, Load) processes using Alteryx • Proficient in Tableau for visual dashboard / report creation that communicates data effectively from the field-level sales team to executive-level use Data Management & Querying o Strong knowledge of SQL for querying and managing large datasets. o Familiarity with database management systems (e.g., MySQL, PostgreSQL, Oracle). • Data Analysis & Modeling o Proficiency in statistical analysis and predictive modeling techniques. o Experience with data mining and exploratory data analysis (EDA). • Programming & Tools o Familiarity with programming languages like Python or R for advanced analytics. o Knowledge and experience in automating data from industry-standard retail systems & platforms o Implement & Maintain all New + Existing Software, Hardware Development, + UAT, and deployment in partnership with business owners