I’m looking for a detail-oriented Virtual Assistant / Shopify Administrator to assist with creating new product listings and migrating data from our current Shopify 1.0 setup to the Shopify 2.0 platform using metafields instead of tags. It is not a simple data transfer but is an ADMINISTRATIVE role in the virtual assistance sense and not a database administrator. The person completing the role needs to consider the product (using the supplier's website as a guide) and then determine, colour, design, appropriate size etc and select the correct option in the CSV or Excel template. I will then upload the template into Shopify initially and provide preview access. If a longer term relationship is formed, I will provide access at this point.
The project is already underway, I've set up the metafields etc, but I’m short on time and need support to complete it.
Project Details: 1. Create and manage new Shopify product listings. 2. Transfer existing data from Shopify 1.0 (which uses tags) to Shopify 2.0 using the new metafield structure and ensure all product details, descriptions, and brand information are accurately updated - this is updating a CSV file, it does not need any programming or development and I will upload the CSV file myself.
Requirements: 1. Proficiency in using CSV files for Shopify product data management. 2. Basic Excel skills, including formulas to streamline data entry (e.g., pulling in brand names). 3. Native or fluent English speaker to ensure accurate communication and tone consistency. 4. Familiarity with Shopify metafields for product information management.
Support: 1. You will have access to the style and tone detail I used to create a customised GPT assistant to help streamline content creation, however the role will include reviewing and refining the output for accuracy and brand alignment.
Ideal Candidate: 1. Has previous experience as a Shopify Assistant, especially with Shopify 2.0. and references/recommendations either on their profile or which can be provided. 2. Confident in managing datasets via CSV and optimising product listings. 3. Meticulous with data accuracy and brand consistency.
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