Ecommerce Senior Data Analyst (W2 Only)

Job Title ECommerce Senior Data Analyst

Duration 6 Months (Will extend with possibility of contract to hire)

Location Ridgefield Park, NJ (Hybrid)

Note : W2 Opportunity

Role and Responsibilities:

• Develop, implement, and maintain leading-edge analytic reports, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
• Work directly with management and users to gather requirements, provide status updates, and build relationships
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources

Skills and Qualifications:

• Master’s degree in Mathematics, Computer Science, Economics, or Statistics
• 5-7 years experience mining data as a data analyst or business data analyst
• Proven analytic skills, including mining, evaluation, analysis, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills with the ability to learn other analytic tools
• 5 years experience using reporting tools such as Tableau.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Working experience with transactional data sets
• Previous experience in ecommerce analytics or similar function with heavy focus on data analysis
• Must have executive level power point creation experience

"Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions".