EPITEC
Top skills: Analytical, problem-solver. Proficient in Alteryx (data ETL) and Tableau (dashboards)
Schedule: Hybrid. Mon-Thu onsite, Fri WFH.
KEY RESPONSIBILITES/REQUIREMENTS:
Role & Responsibilities
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. Key responsibilities include:
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.
Dashboards & Reporting:
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 Identify areas for improvement and recommend strategies to enhance team productivity and effectiveness.
Cross-Functional Collaboration:
o Work closely with field sales, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division.
o Communicate insights and recommendations clearly to stakeholders to drive informed decision-making.
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.
Minimum Qualifications:
Bachelors 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
Preferred Qualifications:
Technical Skills
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