Intelliswift Software Inc
Data Analyst 1 (Retail Data Analyst)
Intelliswift Software Inc, Englewood Cliffs, New Jersey, us, 07632
Job ID: 25-11580
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.
•
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
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.
•
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