South helps growing companies find, hire, and pay top Latin American talent. Build high-performing teams in 21 days or less.
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Hire a product analyst from Latin America and add a full-time owner of product metrics, experiments, and user behavior insight, the person who tells product teams what is actually working, all in your time zone for roughly half the US cost. South places vetted, dedicated product analysts who are fluent in SQL, Amplitude or Mixpanel, and A/B testing, and who start in 2 to 4 weeks. When you hire a product analyst this way, you get rigorous, decision-driving analysis without paying a US tech-company salary or an agency premium.
A product analyst is a data professional who analyzes how users interact with a product to inform product decisions, measuring feature adoption, funnel conversion, retention, and the results of experiments so product teams build the right things. They sit between raw event data and product strategy, turning behavior into evidence.
The role is distinct from a general data analyst. A product analyst specializes in product and behavioral data: what users do inside the app, where they drop off, which features drive retention, and whether a change actually moved the metric it was supposed to. In a SaaS company, they own activation and engagement metrics and the experiment program. In fintech, they analyze conversion through onboarding and the impact of product changes on transaction volume and risk. In enterprise software, they connect usage data to renewal and expansion.
The modern product analyst lives in a specific stack. They write SQL fluently to pull and join data from the warehouse, and they work daily in product analytics tools like Amplitude, Mixpanel, or Heap to build funnels, cohorts, and retention curves. They design and analyze A/B tests, understanding statistical significance, sample size, and the difference between a real effect and noise. They build dashboards in Looker, Tableau, or Mode so product managers can self-serve, and they define the product metrics that matter: activation rate, feature adoption, DAU/MAU, retention by cohort, conversion through key funnels, and north-star metrics tied to value delivery.
What separates a great product analyst from a competent one is the ability to answer the question behind the question. Anyone can pull a number. A senior product analyst hears "is this feature working?" and knows to check adoption, retention impact, and whether it cannibalized something else, then comes back with a recommendation, not just a chart. They are skeptical of vanity metrics, careful about correlation versus causation, and comfortable telling a product manager that the data does not support a favored idea. For a product manager trying to decide what to build next, that rigor is the difference between learning from data and rationalizing with it.
The clearest trigger is when your product team is making decisions without data, or worse, with bad data. If product managers are shipping features and arguing about impact with no clear measurement, or if everyone has a different number for the same metric, you need a product analyst to define the metrics, build the measurement, and make the team's decisions evidence-based. The cost of building the wrong feature dwarfs the cost of the analyst.
The second trigger is an experimentation program you cannot run rigorously. Once you want to A/B test seriously, design, instrument, and analyze tests so you trust the results, you need someone who understands significance and bias. A growth product manager can own the strategy, but the analytical rigor behind valid experiments is the product analyst's job. Without it, teams routinely ship "winners" that were noise.
The third trigger is a self-serve gap. If product managers constantly wait on a central data team for basic numbers, a dedicated product analyst embedded with the product org unblocks them, builds the dashboards they need, and handles the deep dives a general data analyst does not have the product context to answer well.
Who should not hire yet? A pre-product-market-fit startup with almost no users and no event tracking may not have enough data to justify a full-time analyst; the founders' qualitative read of a small user base may be more useful than thin quantitative analysis. And if your need is really BI and company-wide reporting rather than product behavior, a business intelligence developer or general analyst may fit better. Hire a product analyst when you have real usage data and a product team that needs to make decisions from it.
Start with SQL and product-analytics fluency, because they are non-negotiable. Weak candidates have used dashboards others built. Strong candidates can write SQL to answer a real question and have built funnels and retention analyses themselves in Amplitude or Mixpanel. Give a candidate a realistic scenario, "how would you measure whether our new onboarding flow is working?", and listen for activation, time-to-value, completion funnels, and retention impact, not just a single signup-count chart.
Probe their experimentation judgment, because this is where weak analysts do real damage. Ask how they decide whether an A/B test result is real. A strong answer covers sample size, significance, test duration, and watching for novelty effects and peeking. A candidate who calls a 3 percent lift on 200 users a "win" without caveats is a red flag; they will lead your team to ship noise.
Test their product sense and communication. The best product analysts do not just answer the literal question; they understand the decision behind it and deliver a recommendation. Ask how they would investigate a sudden drop in a key metric, and look for structured thinking, segmenting by cohort, platform, and time, ruling out tracking issues, isolating the cause, rather than a vague "I'd look at the data." Then ask how they would present a finding a PM does not want to hear, which reveals whether they can hold a line on evidence.
The red flags to watch: analysts who cannot write SQL independently, who treat statistical significance casually, who only produce charts without recommendations, or who have never owned a product metric. South screens for SQL skill, product-analytics tool fluency, experimentation rigor, and clear communication before any candidate reaches you, so your interview time goes to evaluating fit and product sense, not testing fundamentals.
Use these to find product analysts who drive decisions, not just dashboards:
The cost difference on an experienced product analyst is steep, and it does not require trading down on analytical skill. Here is the comparison at mid-to-senior experience:
The gap is a function of local cost of living and currency, not capability. A product analyst in Sao Paulo, Buenos Aires, Bogota, or Mexico City earns a strong local salary that still lands well below US tech-market rates in dollar terms. South pays competitively within Latin America to attract analysts whose SQL, experimentation, and product-analytics skills would clear the bar at any US product team, so you are buying the same rigor at a different geographic price point.
Layer in the full cost of a US hire and the gap widens. US product analysts at tech companies often come with equity, full benefits, and recruiter fees of 20 to 25 percent of first-year salary in a market where analytical talent fields multiple offers. South folds sourcing and vetting into a transparent monthly cost with no large upfront placement fee, so the all-in savings frequently exceed the headline 53 percent. For a SaaS, fintech, or enterprise product team that needs analytical firepower but cannot justify Bay Area or New York compensation, that is the unlock.
Product analytics is collaborative and embedded, requiring constant back-and-forth with product managers, engineers, and designers, which makes real-time overlap with your team essential. That is exactly where Latin America beats every other offshore region. A product analyst in Brazil, Argentina, Colombia, or Mexico works your business hours. They are in the product standup, the experiment review, and the Slack thread when a metric moves, not delivering analysis a day late across a 12-hour gap, which matters because product questions are usually urgent and the value of an answer decays fast.
The talent pool is deep and growing. Latin America has a strong base of analytical and engineering talent, many trained at rigorous universities and experienced working with US tech companies and their data stacks. SQL, Amplitude, Mixpanel, Looker, and modern warehouses are standard tools across the regional tech scene, and English fluency among data professionals is high, including the spoken English needed to present findings and push back on a PM in real time.
Retention rounds out the case. South places full-time, dedicated analysts, not contractors splitting attention across clients. Because these are real roles with strong local compensation and genuine ownership of product analytics, analysts stay and build deep context about your product, your metrics, and your users. In product analytics, that context is decisive: an analyst who knows your funnels, your seasonality, and your tracking quirks answers questions in minutes that would take a newcomer days, and that institutional knowledge is exactly what you lose when you churn through freelancers.
South does the sourcing and vetting so your interview time goes only to analysts worth it. Every product analyst in our pool is screened for SQL skill, product-analytics tool fluency in Amplitude, Mixpanel, or Heap, experimentation rigor (significance, sample size, bias), dashboarding ability, and the English communication that embedded product work requires. You review a curated short list, interview your favorites, and decide. You manage the analyst directly as a full-time member of your team and own the relationship entirely.
Placement typically takes 2 to 4 weeks from first call to working hire, fast enough to staff up before a roadmap planning cycle or experiment push rather than during it. Pricing is a transparent monthly cost with no large upfront placement fee, and because the analyst is dedicated full-time to you, there is no divided attention and no agency markup on top of agency markup. They work your hours, in your time zone, inside your warehouse, your analytics tools, and your product team.
If your product team is deciding without data, your experiments are not rigorous enough to trust, or your PMs are stuck waiting on a central data team, a dedicated product analyst from Latin America is one of the highest-leverage data hires available to you. Book a call with South to see vetted candidates and get a product analyst onto your team in weeks.
Through South, a full-time product analyst from Latin America costs around $3,750 per month, compared to roughly $8,000 per month for a comparable US hire. That is about 53 percent in savings, with no large upfront placement fee and no separate equity or benefits load layered on top of the monthly cost.
Yes. South vets for SQL skill, product-analytics fluency, and experimentation rigor, not just price. Latin America has a deep pool of analytical talent experienced working with US tech companies, using the same tools (SQL, Amplitude, Mixpanel, Looker) and methods as their US peers.
Yes. This is a major reason to hire in Latin America. Analysts in Brazil, Argentina, Colombia, and Mexico work standard US business hours, so they are in your product standups and experiment reviews in real time, delivering answers when product questions are still hot, with full overlap to Eastern, Central, and Pacific teams.
Most placements take 2 to 4 weeks from your first call to a working hire. South maintains a pre-vetted pool of product analysts, so you can review backgrounds and interview candidates quickly and add analytical capacity ahead of a planning cycle instead of scrambling for it.
A data analyst handles broad, company-wide analysis across functions. A product analyst specializes in product and behavioral data: feature adoption, funnels, retention, and experiments, and works embedded with the product team. The product analyst has deeper product context and experimentation skill; the data analyst has broader business coverage.
Yes. Designing and analyzing A/B tests is a core part of the role, including determining sample size, judging statistical significance, and interpreting results without being fooled by noise. South screens for experimentation rigor during vetting, since this is where weak analysts cause teams to ship changes that did not actually work.
Full-time and dedicated. South does not place gig or freelance analysts. Your product analyst works exclusively for your company, embeds in your product team, and builds the deep context about your metrics, funnels, and users that lets them answer questions fast and with confidence.
The region has the perfect mix of everything you want in remote employees: English skills, shared time zones, hard-working, and depth of talent. They are already accustomed to working remotely for top US startups and Fortune 500 companies.
Absolutely! The US and Latin America have basically the same time zones. No Latin American city is more than two hours ahead of EST.
Every hire is sourced based on your exact needs. They will arrive ready to support your business right away. They can do basically any tasks done remotely, but we recommend starting them as support so your team has more bandwidth for high-value strategic tasks.
All types of roles - customer service, executive assistant, sales, accounting, email marketing, lead generation, content writers, operations, social media marketing, and more!
You can pay directly through us (most popular) or we can connect you with one of our payroll partners.
You don't have to deal with any American labor laws / taxes when hiring full-time remote contractors. They aren't US-based, so no visas or sponsorships to deal with either.
We recommend market pay which varies for each role. See our salary guide and success stories for some ideas.
Then, we have two different models:
Staffing (most popular) - We charge a small monthly fee for each employee's monthly salary to make the process hassle-free. The fee covers sourcing, recruiting, admin, payroll, compliance, ongoing support, and a free replacement if necessary at any point. There are no cancellation fees or minimum commitments. You only pay if you make a hire.
Headhunting - A one-time simple fee once we've found the perfect candidate. This comes with a 120-day replacement guarantee.
For both options, you only pay something if we find you someone great that you want to hire.
Yes, we only recruit for full-time and we strongly recommend full-time hiring if you can. Stability (full-time & long-term) is highly sought after abroad. The top caliber candidates are only looking for full-time work.
You're also going to spend time training and getting them up to speed on your processes. It would be a waste to do that over and over again with new people all the time.
We recommend training new hires on one thing at a time.
For example, once they get up to speed on lead generation, you can add the next role writing blog posts or whatever you'd like. You can definitely overlap roles until you have enough work for multiple people.
The cost of living is much less in Latin American countries. Many of our employees are able to own homes, raise families, provide for their parents, and have in-home help of their own with their salaries.
If you aren't happy with your hire in the first 120 days, we will work with you to conduct a second round of search for the same role for free.
Just email us at Hello@HireInSouth.com and we will get back to you with an answer as soon as possible.
