Hire remote Data Analysts from LatAm for 30% less than US-market

Near can help startups and larger companies find, interview, and hire great pre-vetted Data Analyst talent from Latin America in 21 days or less.

Trusted by great businesses like:
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Trusted by great businesses like:
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper

There is a wealth of Data Analyst talent in LatAm.

Tap into our pool of 35k+ candidates to hire top-tier Data Analyst quickly and cost-effectively. Near enables startups and mid-market enterprises to reduce hiring expenses and drive innovation without compromising on talent. Assemble a high-performing IT, Data, and Engineering team and outpace competitors, all while staying budget-conscious.

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.

Experience

Near candidates are skillful professionals with excellent English proficiency and impressive work experience.

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Junior Data Analyst

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.

Mid-level Data Analyst

Has 3-5 years of experience. Conducts in-depth data analysis, creates visualizations, and contributes to insights that drive decision-making.

Senior Data Analyst

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

Eric H
Eric H

Mid Level Data Engineer

from 

Brazil

Mid Level
Data Lakes
Data Engineer
Lucas R.
Lucas R.

Python Programmer

from 

Colombia

Associate
Management
Brian B.
Brian B.

Data Manager

from 

Brazil

Associate
PowerBI
Manuel P.
Manuel P.

Business Intelligence Analyst

from 

Mexico

Associate
PowerBI
MS Excel
Tableau
Pandas
Matias C.
Matias C.

Senior Data Analyst

from 

Argentina

Mid Level
MS Excel
Belen G.
Belen G.

Airtable Specialist

from 

Bolivia

Associate
Email Marketing
Airtable
Klaviyo
Zapier
Andy Q.
Andy Q.

Senior Data Engineer

from 

Perú

Mid Level
GCP
Scala
Data Engineer
Milagros H.
Milagros H.

Junior Data Analyst

from 

Argentina

Entry Level
Tableau
Statistical Data Analysis
Data Visualization
Barbara H.
Barbara H.

DataOps Engineer

from 

Perú

Entry Level
Ops
No Code
Ana G.
Ana G.

Python Programmer

from 

Brazil

Mid Level
Python
SQL
a group of three men and a woman

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.

21 Days to Fill Open Positions

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.

Interview for Free

Zero-risk hiring. If you don't make a hire, you don't pay anything.

All in cost, simple monthly fee

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

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

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

What Leading Enterprises Say About Near

Doug Dyer

Doug Dyer

CFO / COO

Chapter One

"

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.

"
Tom Elliott

Tom Elliott

Vice President of Product Management

Bonfire

"

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.

"
Conor Chamness

Conor Chamness

Head of M&A

Dura Software

"

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.

"
Carmen Lopez

Carmen Lopez

Recruiter

Tribu

"

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.

"
Sydney Archer

Sydney Archer

VP of Business Ops

Digital Wildcatters

"

We had a seamless and impressive experience with Near. Their team was helpful and thorough, ensuring we received the most qualified talent for the position we were looking for. We filled the role within 2 weeks! We will be using Near for all of our remote hiring needs.

"
Deanna Hunt

Deanna Hunt

Global Senior Sales Recruiter

Metabolic Living

"

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.

"
Anton Lipkanou

Anton Lipkanou

President / Head of Client Services

DELVE

"

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.

"
Sumner Vanderhoof

Sumner Vanderhoof

Co-founder / CEO

Propensity

"

Near was a game-changer for our business hiring strategy. We reduced our burn rate and quadrupled our team skill level with marketing talent from LatAm.

"
John Kennedy

John Kennedy

Founder / CEO

Mesa Cloud

"

We were determined to work with global talent in our local time zone, and Near helped us find great Latin American talent that has brought significant value to our team.

"
Kimberly Gonzalez

Kimberly Gonzalez

Operations Manager

Vanreusel Ventures

"

Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.

"
Frequently asked questions

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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