Data Analyst

Payrate : $ - $

Responsibilities

• Data Preparation and Integration :
• Develop and execute data ingestion and integration strategies to combine data from disparate sources.
• Use SQL, ETL tools and / or scripting languages to join datasets based on defined relationships and business rules.
• Ensure data accuracy and consistency across integrated datasets.
• Dashboards & Reporting :
• 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.
• 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 :
• Assess the performance of sales teams using targets and metrics such as sales lift, conversion rates, and customer engagement to CE products.
• Identify areas for improvement and recommend strategies to enhance team productivity and effectiveness.
• Cross-Functional Collaboration :
• Work closely with field sales, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division.
• Communicate insights and recommendations clearly to stakeholders to drive informed decision-making.
• Data-Driven Strategy Development :
• Leverage data analytics to identify opportunities for growth and innovation within the CE retail segment.
• Develop and execute strategies that enhance competitiveness and customer satisfaction in the CE market.

Technical Skills :

Experience with data mining and exploration data analysis (EDA).

Minimum Qualifications :