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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
Senior Data Analyst
from
Argentina
Data Scientist
from
Brazil
Mid Level Data Engineer
from
Brazil
Data Engineering Manager
from
Brazil
DataOps Engineer
from
Perú
Data Scientist
from
Brazil
Data Scientist
from
Mexico
Python Programmer
from
Colombia
Python Programmer
from
Brazil
Airtable Specialist
from
Bolivia
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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
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.
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The experience was nothing short of exceptional. From start to finish, the entire process was remarkably smooth, and the team at Near played a pivotal role in making our hiring journey a success.
The time savings and quality of candidates have been outstanding. Communication was also seamless, making it easy to work with Near.
It really just felt like Near was embedded in our team. It felt like we’d hired an in-house recruiter. This made my job really easy.
Working with Near has been very helpful. It’s difficult when you’re one person doing all the initial screenings and sourcing. Near took a lot of that “workout” for me and provided great candidates quickly.
It was our first global hire, and it was a success. Near's team guided us at every step. They connected us with highly-qualified candidates, supported us throughout the whole process, and we made a hire in under three weeks.
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.
Near was a low-risk, high ROI way to source finance talent. In under two weeks, we hired a Corporate Development Analyst with an MBA and managed to hit our acquisition goal for the year.
Near was a great extension of our internal recruiting team—efficient, communicative, and delivered top-tier candidates quickly.
Near helped us double the size of our sales force in four months. We hired top talent, injecting fresh energy and expertise into our team, Near's team was very responsive and knowledgeable.
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.
Discover Why Hiring in LatAm is a Cheat Code. Download our FREE Guide Now.