Hire global data talent to scale your team
Every roadmap decision waits on a number someone has to pull. Athyna matches you with global data talent, analysts, engineers, and BI specialists, ready to work inside your stack from day one.
Every roadmap decision waits on a number someone has to pull. Athyna matches you with global data talent, analysts, engineers, and BI specialists, ready to work inside your stack from day one.
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A dedicated data hire means the dashboard gets built, or the query gets run, while your team is still awake to act on it.
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Warehouses, dashboards, and reporting pipelines all run cleaner when one team owns the logic behind them. That consistency shows up in fewer conflicting numbers across departments.
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One analyst today doesn't have to become a five-person data function overnight. Global data talent lets you add engineering or BI specialists as your stack grows, instead of hiring ahead of actual need.
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LATAM data professionals bring the same SQL, Python, and BI tool fluency and the same statistical judgment that you'd hire for locally.
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Hiring with Athyna is simple. You tell us what you need, and we do the heavy lifting. From your first call to your new hire’s first day, we help you hire top talent fast so you can focus on growing your business.
Tell us who you need and when. We'll help you figure out the right roles, where to find great people, and what realistic compensation looks like. Then we'll map out next steps—if it feels like a fit, we're in.
Meet your dedicated recruiter. We'll dig into what great looks like for this role—skills, experience, culture fit, the works. We'll refine the job description together and make sure we're both crystal clear on who we're hunting for.
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Our AI scans our pool of vetted candidates while our recruiters dig deeper. We match on skills, experience, and culture fit—not just keywords. You'll see the top prospects within 4 days.
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Meet your shortlisted candidates. We'll coordinate schedules and handle the logistics. Most customers hire 1 out of every 3 candidates we endorse—we're here until you find your match.
Found a match? We'll handle the paperwork—offer letters, contracts, payroll setup. You focus on welcoming them to the team. We'll also help you create an onboarding plan that sets them up to hit the ground running.
Your new hire is up and running. Our Customer Success team stays with you for HR support, performance check-ins, and whatever else comes up as your team grows.
We work super hard to create an amazing experience. And we seem to be nailing it. Here are a bunch of our happy, happy customers!
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A global data team handles queries, dashboards, pipelines, and reporting so your roadmap decisions don't wait on one in-house analyst's bandwidth. For companies scaling fast, that usually means bringing in LATAM data talent who work directly inside your existing warehouse and BI tools.
Start by defining whether you need analytics, engineering, or both, along with your current stack (warehouse, BI tool, language). Then look for candidates who can walk through a real query or dashboard, not just list tools on a resume. Athyna matches you with pre-vetted LATAM data professionals in days, so you skip sourcing and go straight to technical review.
LATAM data professionals work hours that overlap directly with US teams, so a dropped metric or broken pipeline gets fixed in real time instead of the next morning. That overlap matters most when data feeds decisions that can't wait.
Costs vary by role and seniority, but LATAM-based data professionals typically cost significantly less than equivalent US hires while matching the SQL, BI, and engineering skills you'd expect locally. (Flag: needs an exact percentage from the QA/Data/BI Roles-Rates collection before publish, same as the confirmed 40-60% figure on the CS page.)
Yes. Most of Latin America sits within one to three hours of US time zones, so data teams based there collaborate live with product and leadership instead of handing off work overnight.
LATAM combines US time zone overlap, strong STEM academic foundations, and SQL/BI fluency shaped by working with US companies, a combination that's harder to find at the same price point in other lower-cost markets.
