Retail Data Analyst

Note:

Top skills: Analytical, problem-solver. Proficient in Alteryx (data ETL) and Tableau (dashboards)

Schedule: Hybrid. Mon-Thu onsite, Fri WFH

Job Description:

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:

• 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

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