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Logos Labs
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HR Data Quality Analyst - LATAM



IT, People & HR, Data Science, Quality Assurance
Washington, DC, USA · Remote
Posted on Wednesday, May 8, 2024

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Please take a look at to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.

All of our positions are fully remote. You do not have to relocate to join us!

What this job can offer you

This is an exciting time to join Remote and make a personal impact in the global employment space joining our Benefits team as Quality Analyst.

In your role, you will have the opportunity to develop your skills and work fully remotely with a global team as an experienced Quality Analyst. You can check out here the list of 80+ countries in which we already operate.

What you bring

  • You have at least 3 years of experience in HR Operations and Benefits Data roles or similar positions.
  • You have Data flows and Data analytics design experience.
  • You have managed audits of complex multi-platform processes and large datasets.
  • You have successfully led cross-functional projects.
  • You are an expert in: SQL, google apps scripts and excel macros.
  • You are able to quickly adapt to a fast-paced, international, scale-up environment.
  • You are a manager of one
  • You write and speak fluent English
  • You have additional BI tools experience (nice to have)
  • You have startup experience (nice to have)
  • It's not required to have experience working remotely, but considered a plus (nice to have)

Key Responsibilities

  • Review, document and improve data flows between systems used for benefits data management.
  • Design and conduct audits of large datasets and implement data quality improvement initiatives.
  • Develop dashboards and reporting tools as required to support reporting business needs.
  • Identify automation and process improvement opportunities.
  • Work closely and effectively with internal stakeholders and external vendors to ensure scalability, accuracy and data integrity.
  • Lead on cross-functional collaboration projects to minimize quality issues.
  • Increase process effectiveness and provide greater value to Remote’s customers and employees.
  • Be able to go from “scout to scale” and actually start things up and get things done


  • You'll report to: Senior Manager Benefits Operations
  • Direct reports: 0
  • Team: [Benefits] - [Benefits Operations]
  • Location: LATAM
  • Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $32,800 to $46,150. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

Roughly 4 hours across 4 weeks

  1. Interview with recruiter
  2. (Async) Exercise
  3. Interview with future manager
  4. Interview with VP
  5. Prior employment verification check



Our full benefits & perks are explained in our handbook at As a global company, each country works differently, but some benefits/perks are for all Remoters:
  • work from anywhere
  • unlimited personal time off (minimum 4 weeks)
  • quarterly company-wide day off for self care
  • flexible working hours (we are async)
  • 16 weeks paid parental leave
  • mental health support services
  • stock options
  • learning budget
  • home office budget & IT equipment
  • budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

  1. Please fill out the form below and upload your CV with a PDF format.
  2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
  3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.