Job Application for Data QA Specialist at YipitData

About Us:

YipitData is the market-leading data and analytics firm. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.

Our insights team uses proprietary technology to identify, license, clean, and analyze the data that many of the world’s largest investment funds and corporations depend on. We raised $475M from The Carlyle Group at a valuation over $1B, further accelerating our growth and market impact.

We have been recognized multiple times as one of Inc’s Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.

With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.

About the Role:

Our newest product offers insights on software companies and is growing rapidly. We are seeking a Data QA Specialist to join our Data Product team in India to manage a large portion of the data cleaning and quality assurance processes for this new product. The Data QA Specialist will be responsible for manually reviewing large datasets of raw financial transaction spend data and helping us transform it into accurate business expense insights. You will verify and make corrections to financial transaction data based on U.S. accounting rules, and you’ll complete your work primarily using tabular data in our proprietary software. This cleaned data will then be used to build insights products in our fastest-growing initiatives. This position offers the opportunity to meaningfully contribute to the growth of our company. Exceptional employees may have the opportunity to be promoted and manage a team of other Data QA Specialists.

This is a fully remote role based in India.

In general, we expect some overlap with U.S. work hours, and we require greater flexibility (i.e., more overlap) during the first few weeks of training and onboarding. More details on work-hour expectations will be shared during the recruiting process.

We expect hires to start in the position on January 27, 2025.

As Our Data QA Specialist, You Will:

Own manually reviewing and updating raw financial transaction spend data and invoices to help transform it into an accurate representation of business expense insights
Verify and make corrections to financial transaction data following U.S. accounting rules, which will include manually adjusting data by:

Thoroughly reviewing expense trends over time, across many vendors and different accounting record types
Deduplicating overlapping transactions such as vendor bill and journal entries and selecting the correct record
Adjusting amortization dates of expenses
Inferring amortization dates of expenses, if they are not clear
Verifying and tagging the correct vendor for each transaction

Document repeated data issues and work with other Data and Engineering teams to improve our data quality assurance processes
Primarily complete your work using Google Sheets and our proprietary software
Collaborate closely with our U.S.-based Data Product team every day
Have the opportunity to be promoted to manage a team of other Data QA Specialists

You Are Likely to Succeed If:

You have 2+ years of experience as a data or quality assurance analyst
You have at least 1 year of full-time work experience as an A/P bookkeeper, junior accountant, Accounts Payables (A/P) clerk, or in a similar position using U.S. accounting practices
You have experience with Netsuite, Sage, Quickbooks, Xero (or similar ERP software)
You have exceptional attention to detail
You have experience working with large datasets
You have experience managing multiple processes in parallel
You like to solve problems and puzzles
You have excellent written and verbal communication skills, with the ability to interact effectively with vendors and internal teams across time zones and cultures

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

We care about your personal life and we mean it. We offer flexible work hours, flexible vacation, parental leave, team events, a wellness budget, learning reimbursement, and more!
Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
The annual base salary for this position is anticipated to be $10,000 - $15,000 (USD). The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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Thank you for your interest in the role. Please review the below questions and answer them using your best judgment. Prescreening Question 1) Our spend data includes information sourced from both accounting systems (e.g., Netsuite, QuickBooks) and bill pay systems (e.g., Bill.com, Brex). As a result, the same transaction will often appear two times or more, once from each system. Our goal when cleaning data is to keep one row for each transaction. In these types of situations, we need to identify and remove duplicates from our final table. Imagine you are cleaning data and come across two transactions that have the same amount, vendor, and date, but one is from the accounting system and one is from the bill pay system. What is the best course of action?

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Prescreening Question 2) When a company pays a vendor, they will often make one payment to the vendor upfront at the beginning of the service period. However, from an accounting perspective, they will recognize the cost of the expense over the entire service period. For example, if a company signs up for a subscription from a vendor for $12,000 for a one year period starting on January 1, the company might pay the vendor $12,000 upfront for annual service on January 1. From an accounting perspective, the company would then recognize $1,000 of the expense in their accounting system each month for the next twelve months, such that we would see a $1,000 record in January, $1,000 in February, etc. Oftentimes, accounting systems recognize the upfront payment as a “bill” record type, and each of the monthly accounting recognitions are “journalentry” record types. The monthly accounting recognitions of the expense are called “amortization.” However, these amortization expenses will often have errors or omissions. Linked below is a sample accounting statement from our data, where all lines relate to the same software purchase. After reviewing the linked table for question 2, what is incorrect about the table?

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Date	Amount	Record Type	Account Name	Memo
2022-01-31	$30,720	bill	13850 Prepaid Expenses	Lever 1/31/22-1/30/23 Subscriptions HR
2022-02-28	$2,560	journalentry	66200 Subscriptions
2022-03-31	$2,560	journalentry	66200 Subscriptions
2022-04-30	$2,560	journalentry	66200 Subscriptions
2022-05-31	$2,560	journalentry	66200 Subscriptions
2022-06-30	$2,560	journalentry	66200 Subscriptions
2022-07-31	$2,560	journalentry	66200 Subscriptions
2022-09-30	$2,560	journalentry	66200 Subscriptions
2022-10-31	$2,560	journalentry	66200 Subscriptions
2022-11-30	$2,560	journalentry	66200 Subscriptions
2022-12-31	$2,560	journalentry	66200 Subscriptions
2023-01-31	$2,560	journalentry	66200 Subscriptions

Prescreening Question 3) It is June 30, 2024 and you are reviewing a company’s accounting statements and see a bill for productivity software that the company recently purchased. The bill was processed on June 6th, 2024, but it has a memo field (which is manually entered by a human) showing a software subscription start date of June 6th, 2023. What is the most likely start date of this software subscription?

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Prescreening Question 4) When a company pays a vendor, it will typically update its accounting system by creating a record with two lines: one subtracts an amount from an “Accounts Payable” account, and one adds an amount to an “Expense” or “Prepaid Expenses” account. The company subtracts the amount from the “Accounts Payable” account as the record of no longer owing money for the bill, while the company adds the amount to the “Prepaid Expenses” account as the company’s record of having purchased the software. As you can see in the link below, this creates two lines for one instance of spend with a vendor. Usually, we only want one line for each instance of spend. Which line should we remove?

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Date	Amount	Record ID	Account Name	Memo
2022-01-31	$20,500	24775	13850 Prepaid Expenses	Jira Subscriptions May 1 2022 - April 30 2023
2022-01-31	-$20,500	24775	2010 Accounts Payable	A/P for Jira Subscriptions

Please only submit a PDF version of your resume above. Submitting .doc, .pages, or other file types may lead to rendering/formatting errors.

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How did you hear about this job? (If through one of our current employees, please share their name and your relationship to them.)

Why are you looking for a new opportunity at this time?

What about this role in particular interests you? Additionally, why do you think you are the right candidate for this position (based on your background and our job description)?

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Do you have experience with Netsuite, Sage, Quickbooks, Xero (or similar ERP software)?

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Please briefly explain your specific and relevant experience working with Data QA, Accounting, ERP software, and a U.S.-based company. (Put “N/A” if not applicable.)

Our typical working hours are from 9am to 5pm ET, which may involve some flexibility occasionally. We expect at least some overlap with these hours. Are you comfortable with this, especially considering the time zone differences?

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YipitData is an equal-opportunity employer and seeks collaboration, innovation, and excellence through diversity and inclusion. Here is a set of voluntary demographic questions that are part of our Diversity and Inclusion initiatives. You may choose not to answer the questions below. If you do choose to answer, your responses will be used (in aggregate form only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision.

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Data QA Specialist

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