CPT-5760 eCommerce Data Scientist Amazon Virtual Assistant - Data...
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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.
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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
Apply Now
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
Apply Now