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There is a wealth of Data Analyst talent in LatAm.
Near can help you
Save 30-70% on salaries. We offer lower-cost, motivated candidates.
Hire quickly — 10x Faster. Typically you can hire in under 21 days.
Find the best teammates for you. Experts at identifying key insights from complex data and presenting them to stakeholders.
Save time with pre-vetted candidates. English speaking. Statistical knowledge. Data mining and dashboarding experience.
Near candidates are skillful professionals with excellent English proficiency and impressive work experience.
Has 1-2 years of experience or less. Assists in data collection, learns basic data analysis techniques, and gains proficiency in using data analysis tools.
Has 3-5 years of experience. Conducts in-depth data analysis, creates visualizations, and contributes to insights that drive decision-making.
Has 5 years of experience or more. Possesses advanced data analysis skills, collaborates with cross-functional teams, and provides strategic insights based on data trends.
Manager/Director of Data Analytics
Has 7+ years of experience in management roles. Leads data analytics efforts, manages data analyst teams, and shapes strategies for leveraging data to drive business growth.
See a few of our 35k pre-vetted candidates
Airtable Specialist
from
Bolivia
Senior Data Engineer
from
Perú
Data Engineering Manager
from
Brazil
Python Programmer
from
Colombia
DataOps Engineer
from
Perú
Data Scientist
from
Brazil
Data Manager
from
Brazil
Head of Data and Analytics
from
Chile
Mid Level Data Engineer
from
Brazil
Data Scientist
from
Brazil
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Why LatAm?
US Time Zones
Hire teammates, not offshore resources. Near candidates work in US time zones, helping improve collaboration.
Strong English
Access candidates with certified English proficiency. Plus we screen the best talent for your roles, helping you save time.
Seamless Work Culture
Our proven hiring process ensures you get candidates who are a strong cultural and professional fit, helping increase retention.
Lower Operational Costs
LatAm salaries are 30-70% below US market. Hire the top 1% while keeping your hiring budget in check. It’s a win-win situation.
How Near's Proven Hiring Process Works
Discovery Session
We delve into your hiring goals, whether it's building a nearshore team, high-volume hiring, executive search, etc. Together, we outline role requirements, discuss talent markets, and compensation ranges.
Kick-Off Call
Meet your dedicated recruiter to fine-tune the candidate profile and create an effective hiring journey. We focus on a streamlined process to secure top talent that meets your objectives.
Interviews and Hiring
Within just 3 days, receive profiles of handpicked candidates. Conduct interviews to find the best fit. Given our pool of high-quality candidates, your toughest decision will be choosing who to hire.
After You Hire
Onboard, pay, retain
We support you through the onboarding process and advise on strategies to pay and retain your top remote talent, setting up both you and your new hire for success.
Ongoing support & team expansion
Get continuous support after you make a hire. As your business grows, we're ready to assist with team expansion, including high-volume hiring, executive search, and more.
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Zero-risk hiring. If you don't make a hire, you don't pay anything.
Top Talent, Transparent Compensation
Jr. Data Analyst
- Degree in Mathematics or similar
- 1+ years of experience
- Proficiency in Microsoft Excel
- Knowledge of SQL, and data visualization tools such as Power BI or Tableau
2.0
k
/
Monthly
Data Analyst
- Degree in Mathematics or similar
- 2+ years of experience
- Experience with scripting languages such as R, Python
- Data visualization skills in BI tools such as Power BI or Tableau
3.0
k
/
Monthly
Head Of Data Analytics
- Advanced Degree in Mathematics or similar
- 8+ years of experience
- Team management experience under Scrum or other Agile frameworks
- Proficiency with Python or R, and SQL databases
- Familiarity with Big Data technologies
7.5
k
/
Monthly
What Leading Enterprises Say About Near
We were pleasantly surprised with all the candidates we interviewed, especially about how well-rounded they were and how much experience they had. We were blown away by the talent that existed that we just kind of weren't aware of.
The talent Near provided is incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.
We hired 12 team members who share our core values: great attitude and desire to learn, resourcefulness, and adaptability. Near’s team was very responsive, and their easy-going communication fostered a seamless hiring process.
The time savings and quality of candidates have been outstanding. Communication was also seamless, making it easy to work with Near.
Partnering with Near saved us $43k annually in overhead costs and reduced our hiring timeline by up to three months.
It was shocking to see the difference between the talent Near brought versus other firms I worked with. Our hires are extraordinary and a great cultural fit.
Near helped ensure we were selecting the right people for our team. The ability to interview multiple candidates and watch video recordings of the interviews before making a decision was a very strong point for Near.
Near’s team gave us confidence that we’d hire great talent quickly. They did a deep dive into our requirements, asked the right questions, and communicated our needs and goals back to us. They advised us on compensation, different talent markets, and our hiring process.
When I check with the department managers, they all say, ‘It’s like 100 out of 10.’ The talent we’ve brought in through Near has been professional, articulate, intelligent, and absolutely the right fit for our team.
Near provides an easy hiring experience. They saved me a lot of time handling all the posting, sourcing, screening, and initial interviews. All I have to do is conduct final interviews to ensure cultural alignment. I made a hire in only 14 days.
What's the difference between a Data Analyst and a Business Intelligence Analyst?
There are many similarities between Data Analysts and Business Intelligence Analysts, as they both help companies make data-driven decisions. The main differences between the two are that a Data Analyst is more focused on working closely with the data itself, maintaining databases and ETL processes. On the other hand, BI Analysts will use said data to inform strategic business decisions and create presentable data visualizations.
Do your candidates have client-facing presentation experience?
Yes, the majority of Data Analyst candidate on Near have worked at US-based companies (or local companies with US clients). They are comfortable presenting reports, dashboards and more in strong spoken and written English.
How do I know I can trust your candidates?
Resumes can lie! We pre-vet and screen all of our candidates for English proficiency, skills, and work experience. We conduct reference calls and international criminal background checks. We’ll do our best to find a teammate you can stay with for the long term.
How does your pricing work?
We charge a monthly fee per hire which changes slightly dependent on the role. We can provide an exact quote once we have requirements for the role you're looking to fill. You don't pay us anything unless you make a hire.
What roles can I hire for?
We specialize in the following categories: Finance & Accounting, Marketing, Customer Support & VAs, Sales, and Software Engineering. We've successfully placed candidates ranging from Virtual Assistants and PhD Data Scientists in under 3 weeks. We only help hire LatAm talent. It's our specialty and we do it well.
How do I pay candidates?
You can pay through us, use an in-house solution, or we can connect you with one of our global hiring partners.
Do I need to sponsor candidates / issue a work Visa to hire in LatAm?
You don't. Candidates are not US-based and therefore don't need a visa/sponsorship to work.
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