How to Hire a Data Analyst from Latin America
To hire a data analyst from Latin America, first decide which data problem you need solved, because "data analyst" covers three different jobs. Get that wrong and you end up with a dashboard builder when you needed someone to fix your pipelines, or the reverse.
Which Data Role You Actually Need
When you hire a data analyst from Latin America, match the role to the problem:
- Business intelligence analyst: turns existing data into reports and dashboards in tools like Power BI, Looker, or Tableau, and answers business questions with SQL. Right for you if leadership asks for numbers that someone pulls by hand every week.
- Analytics engineer: builds and maintains the data models and pipelines the dashboards depend on. Right for you if your numbers do not match between tools, or every new report takes weeks.
- Data scientist: builds forecasts, models, and experiments on top of clean data. Right for you only after the first two problems are solved.
If what you need is automation with AI tools rather than analysis, see how to hire a remote AI developer in Latin America.
How One Software Company Built Its Data Team
A US software company hired a BI analyst through Resorsi in 2024. Two years later, in September 2026, it came back to hire an analytics engineer and a full-stack data scientist at the same time. The order matters: reporting first, then the models and pipelines underneath, then the data science that depends on both.
How to Test Candidates
SQL on realistic data. Give a small dataset that looks like yours, with a duplicate or a missing value, and ask a business question. Watch whether they notice the problem before answering.
A metric definition. Ask them to define "active customer" or "churn" for your business and explain the trade-offs. Strong analysts ask questions before they write a query.
A dashboard critique. Show one of your current dashboards and ask what they would change. You learn how they think about the person reading it.
Outcomes, not tools. Ask what decision changed because of a report they built. Tool lists are easy to copy; outcomes are not.
English with stakeholders. Analysts present findings to people who do not read SQL. Include a short explanation of results in English as part of the test.
What It Costs
- Business intelligence analyst: Resorsi placements (annual salary): $39,600 (2026)
- Analytics engineer: Resorsi placements (annual salary): $38,400 (2026)
- Full-stack data scientist: Resorsi placements (annual salary): $50,400 (2026)
For comparison, the median US data scientist earns $120,230 a year, and the median operations research analyst $88,940 (BLS, May 2025). The BLS does not publish a separate figure for data analysts. US figures are before benefits. The Resorsi figures come from a small number of placements. For other roles, see how much nearshore hiring in LATAM costs.
Resorsi has two models:
- Direct hire: a one-time fee of 20% of the first-year salary ($7,920 for a BI analyst at $39,600), a 90-day replacement guarantee, and optional payroll at $100 per payment.
- Employer of record: you pay the monthly salary with a 30% markup, plus $100 for payroll management, with no guarantee.
Resorsi places pre-vetted professionals in under two weeks. To scope a data hire, see how hiring with Resorsi works.