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Nearshore staffing and recruitment · DATA

Hire nearshore data analysts who answer the question before the meeting ends.

Nearshore data professionals are analysts, analytics engineers and data scientists based in Latin America who work US hours inside your data stack. nearshore.now tests them on real SQL and modeling problems, employs them locally, and you own the warehouse, the dashboards and the questions.

Book a call How it works
Torre.ai Staffing Partner Founded by Tania Zapata and Alexander Torrenegra
Plate 1. Where nearshore.now hires data & analytics Map of the Americas with routes from Mexico City, Guadalajara, Monterrey, Bogotá, Medellín, Buenos Aires, Córdoba, São Paulo to US cities. Bogotá – New YorkBogotá – AustinMexico City – Los AngelesMexico City – ChicagoBuenos Aires – MiamiSão Paulo – New YorkMedellín – NapaGuadalajara – DenverMonterrey – AustinCórdoba – Chicago Mexico City Guadalajara Monterrey Bogotá Medellín São Paulo Buenos Aires Córdoba New York Miami Chicago Austin Denver Los Angeles 40° N 20° N 0° 20° S 120° W 100° W 80° W 60° W N 0 1,000 km Azimuthal equal-area
Plate 1Where we hire data & analytics United States
Mexico City 19.43° N, 99.13° W –:–– · UTC
  • 5 days
    to your first shortlist
  • 6–8 hours
    of daily overlap with every US time zone
  • 40–60%
    below the cost of an equivalent US hire
  • 1 invoice
    We employ. You manage.
The role5 titles placed

What a nearshore data analyst does on your team.

  • Owns the metrics your team looks at every Monday and the models behind them.
  • Builds and maintains pipelines and dbt models in your warehouse.
  • Answers ad-hoc questions from sales, finance and product during your working day.
  • Runs experiments and reads them honestly.

Titles we place

  • Data analyst (SQL, dashboards, reporting)
  • Analytics engineer (dbt, warehouse modeling)
  • Data engineer (pipelines, orchestration)
  • Data scientist (experimentation, forecasting, ML)
  • BI developer (Looker, Tableau, Power BI)

Skills and tools

  • SQL first, then Python or R
  • dbt, Airflow, Fivetran, Snowflake, BigQuery, Redshift, Databricks
  • Looker, Tableau, Power BI, Metabase
  • Statistics, experimentation, forecasting
  • Explaining a chart to a non-technical executive in English
Vetting4 steps · you interview the finalists

How we vet data & analytics.

  1. A timed SQL exercise on a messy, realistic dataset.
  2. A modeling or analysis case discussed live with a senior analyst.
  3. A review of past work: dashboards, models, write-ups.
  4. An English interview and reference checks.

Then you interview the three to five who pass. We never place someone you have not met.

Seniority

Analyst
Two to five years. Owns reporting and answers questions with SQL.
Senior
Six or more years. Designs the warehouse model, runs experimentation, mentors.
Lead
Runs a small data team and sets standards.
WhereMexico · Colombia · Argentina · Brazil

Why Latin America for data & analytics.

The data stack is the same everywhere: a warehouse, dbt, a BI tool. What changes is who is awake when the CFO asks a question at 2 PM. A Mexico City analyst is on Central time; a Bogotá analyst is on Eastern time for most of the year. Latin America also has strong quantitative programs in Buenos Aires, São Paulo, Mexico City and Bogotá, so the supply of people who can model and explain is real.

MexicoUTC−6

Mexico City and Guadalajara

Scale. With about 130 million people and the largest economy in Spanish-speaking Latin America, Mexico has more engineers, accountants and bilingual professionals than any other nearshore country.

Hire in Mexico ColombiaUTC−5

Bogotá and Medellín

The time zone is the whole argument. A Bogotá employee works the complete Eastern and Central business day and six to seven hours of the Pacific day, with no daylight-saving shuffle because Colombia never changes its clocks.

Hire in Colombia ArgentinaUTC−3

Buenos Aires and Córdoba

English. Argentina has ranked first in Latin America on the EF English Proficiency Index for most of the last decade. In creative and knowledge roles, that shows.

Hire in Argentina BrazilUTC−3

São Paulo and Campinas

Fintech and e-commerce have trained deep data teams.

Hire in Brazil
Fithonest answer on the call

When it fits, and when it doesn't.

A good fit when

  • You have a warehouse or are setting one up, and someone on your side owns the questions.
  • You want a person embedded with the teams that use the numbers.

Not the right tool when

  • You need a one-time dashboard built. A contractor is cheaper for that.
FAQ4 entries

Questions about nearshore data & analytics.

All questions

Related roles

Software engineersFinance & accountingOperations & project managers
01Do you test SQL skills?

Yes. Every data candidate does a timed SQL exercise on a realistic dataset before we shortlist them, and we share the results with you.

02Can a nearshore analyst work with sensitive data?

Yes, under the same controls as any employee: your accounts, your access policies, a signed NDA and data-handling terms in the contract. We provide the equipment, and you control the access.

03Data analyst or analytics engineer: which one do I need?

If the numbers exist and nobody has time to answer questions, an analyst. If the numbers disagree with each other, an analytics engineer to fix the model first. We will tell you which on the call.

04Can I hire a nearshore data analyst through staffing or recruitment?

Either. With nearshore staffing, nearshore.now employs the data analyst in their country and you pay a flat monthly fee. With nearshore recruitment, we run the same search and vetting, and you hire the data analyst directly for a one-time fee.

Book a call

Your nearshore data analyst could start next month.

Twenty minutes with us. No commitment. We’ll tell you if nearshore is right for the role.

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