Data Analyst 1 (Retail Data Analyst)

Pay rate range -$35 / hr. to $38 / hr. on W2

Schedule : Hybrid. Mon-Thu onsite, Fri WFH.

Job Description :

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

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.

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.

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.

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.

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 :

Preferred Qualifications :

Technical Skills

o Strong knowledge of SQL for querying and managing large datasets.

o Familiarity with database management systems (e.g., MySQL, PostgreSQL, Oracle).

o Proficiency in statistical analysis and predictive modeling techniques.

o Experience with data mining and exploratory data analysis (EDA).

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