Data Entry Analyst

TechKonnect is a provider of comprehensive outsourcing solutions for eCommerce, accounting, and marketing needs, located in Lahore, Punjab, Pakistan, which is where the applicant will be reporting to the managers. With years of experience in the industry, TechKonnect offers a wide range of services designed to help businesses streamline their operations and grow their online presence.

This position directly involves the provision of those services to TechKonnect’s international clients.

 SUMMARY

This position is a Data Entry position related to creating and managing inventory catalog listings for an eCommerce Shopify store for a company that has been selling supplies and accessories to participants of the automotive industry for 20 years.

This position is a Remote position.

 SCHEDULE & TIMINGS

 The shift timings for this position are Mon-Fri  7pm to 12am, to be able to coordinate with overseas personnel.

Scheduling & compensation for this position are performed over a day-by-day basis. This allows the benefit of flexible scheduling for the applicant.

 QUALIFICATIONS

English Proficiency Applicants with O/A Level English education preferred. The level of English used in this job description will provide an idea of what kind of proficiency is being sought. Regular spelling and grammatical errors are a disqualifier.

(Optional) Content Writing Content writing skills are a notable plus.

Familiarity with Microsoft Excel Knowing how to navigate in Excel and enter, edit, filter, manipulate data. Extensive formula-use in Excel is not needed for this position.

Note-taking habits (do not use memory) Each data entry task has sub-instructions. Applicants that only rely on memory to complete each task make large amounts of errors over time. Memory-based task execution is a disqualifier for this position. This position requires applicants who habitually take notes, list steps for each process, and check their notes/lists during task-execution, so that chances of errors during Data Entry are eliminated or reduced significantly.

RESPONSIBILITIES

Key Activities for this position are explained in detail below. This is what a day-in-the-life looks like for this job.

1.     New Listing Creation

• Use an item's SKU number to search for the item on Manufacturer page and/or 3rd party seller websites (if not found on Manufacturer website).
• Create a Title, according to format provided.
• Creating a description (rephrase content from manufacturer website).
• Procure specifications eg barcode, size, dimensions, weight, color etc.
• Enter this data in 1. Excel 2. Shopify console.

2.     Listings Correction Listings are still a work-in-process, therefore they are subject to modification. Any modification requires updates in other fields, depending on what part of the listing was modified. A slightly different process, or list of instructions, needs to be executed in order to complete each such task. This must be done with little to no error. The above-mentioned Note-taking habits play a big role here. Corrections are performed in both Excel as well as Shopify.

• Applicant should have the ability to think critically and ask whether a product should/shouldn't be grouped in a given category, and why? Thus, identifying if corrections are needed across multiple other products.
• Applicant should be able to communicate and start discussions with supervisors on their own, regarding problems found in the product listings.
• Once an issue is identified with a single item, applicant should be able to find & filter related items, and check them for the same issue, and suggest/implement corrections.

3.     Data Collection Listing are often revisited in order to add new metadata to it eg. adding color/size specifications. This involves:

• Returning to the listing’s manufacturer page and searching for the needed data
• Adding that piece of data to an Excel worksheet, or into Shopify directly.

4.     Data Reviews Performing a review of a task already completed, to check for accuracy or errors.

COMPENSATION

The Compensation for this position is USD $7-11 per day.

Compensation is tied to factors such as Attendance and Performance, which affects the total USD compensation per month.