CPT-5760 eCommerce Data Scientist Amazon Virtual Assistant - Data Science Expert

IMPORTANT NOTE: If you have already passed the 20four7VA Recruitment Process after the Final Interview, or you have been hired by a 20four7VA Client before, make sure that you are applying via the 20four7VA Team Portal, for faster processing of your application. You will be logging in using your 20four7VA email address. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. You don't need to type all the information in the application form, upload your resume first and see the magic! If you are interested in the job, click APPLY TO POSITION. ? ************************************************************* Job Details In search of a dynamic eCommerce Amazon Virtual Assistant with a strong background in data science and sort of business data analyst, proficient skills in MS Excel and Google Sheets, and expertise in reporting analysis, while familiarity with Amazon Seller Central and SKUs management is mandatory REQUIRED SERVICE: eCommerce Support VA REQUESTED EXPERIENCE TIER LEVEL: Junior- Senior Level MIN. HOURS/WEEK: 20 hours to begin with ; full time SHIFT TIME ZONE : EST SHIFT HOURS: between 9am to 6pm SHIFT DAY: Monday to Friday Number of VAs: 1 PREFERENCES: GENDER PREFERENCE: NONE LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: NONE REGION PREFERENCES: NONE eCommerce Data Scientist Amazon Virtual Assistant - Data Science Expert Data Science Expertise: Apply data science methodologies to analyze and interpret large datasets. Extract valuable insights to guide decision-making processes. MS Excel and Google Sheets Proficiency: Utilize advanced MS Excel and Google Sheets functionalities for analysis. Understanding of key metrics that should drive decision making. Experience in manipulation is a plus, but not necessary. Will be reviewing reporting provided to them and asked to provide recommendations in the form of price changes and repricing rules in order to remain competitive on the marketplace. Reporting and Analysis: Provide actionable insights based on data analysis. Focus on the ability to interpret the data provided rather than generating or manipulating reports. Amazon Seller Central Familiarity: If not already familiar, quickly adapt to and understand the Amazon Seller Central platform. Collaborate with the team to enhance SKU management processes. Requirements: Data Scientist Background: Proven experience in data science MS Excel and Google Sheets Proficiency: Advanced skills in MS Excel and Google Sheets for efficient data manipulation and modeling. Reporting and Analysis Experience: Previous experience conducting data analysis for eCommerce operations. Preferred Skills: Familiarity with Amazon Seller Central for streamlined eCommerce management. Understanding of SKU management processes within an eCommerce environment. Want to work with this amazing client? Apply now and join 20four7VA! Join the remote world, today. What we offer: ? Competitive rates ? Weekly payments ? Annual rate increase (based on performance) ? Paid time off ? Paid holidays ? Various open roles are available ? Free training and upskilling ? Constant support and guidance from managers and mentors ? Clear schedules and guidelines ? A vibrant community always ready to support you ? And more!