What is a data analyst and what do they do?

A data analyst collects, cleans, and interprets structured data to help organizations make better decisions. Core work includes writing SQL queries, building dashboards, running statistical analyses, and presenting findings to stakeholders. Unlike data engineers (who build pipelines) or data scientists (who build predictive models), data analysts focus on descriptive and diagnostic analytics — explaining what happened and why.

What is the difference between a data analyst and a data scientist?

A data analyst focuses on descriptive analytics — SQL, dashboards, reporting, and explaining historical trends. A data scientist focuses on predictive and prescriptive analytics — ML models, experimentation frameworks, and algorithms. Most companies need a strong data analyst before they need a data scientist.

How do you vet data analysts from Latin America?

Candidates complete a real-world SQL challenge on a realistic business dataset, build a dashboard from scratch, and go through a case study interview simulating a stakeholder data request. We assess query optimization, chart design judgment, and how clearly they communicate findings. All recordings are shared before you interview anyone.

How quickly can I hire a data analyst through NeuronHire?

First pre-vetted profiles arrive within 7 days. Full placement typically takes 2–3 weeks.

What is the cost of a data analyst from Latin America?

Senior data analysts from Latin America typically cost 30–50% less than US equivalents. LATAM has a large pool of analytically trained professionals with strong SQL and BI tool skills at significantly lower market rates.

LATAM Senior Talent Network

Hire Data Analysts

Hire pre-vetted senior Data Analysts from Latin America. SQL, Python, Tableau, Power BI, dbt. 7-day match SLA, top 1% vetted, 30–50% below US rates.

Pre-Vetted Talent

US/EU Timezone Aligned

Hire in 7 Days

Top 1%

talent accepted

7 days

to first profiles

30–50%

below US rates

100%

timezone overlap

clients backed by

What does a Data Analyst do?

A data analyst turns raw business data into decisions — writing the SQL queries, building the dashboards, and running the analyses that tell leadership what's actually happening with revenue, retention, and product usage. Good data analysts don't just pull numbers; they frame the right question, spot the anomaly in the data, and communicate the finding clearly to someone who's never opened a SQL client. NeuronHire places data analysts from Latin America vetted on SQL, Python, Tableau, Power BI, and dbt — timezone-aligned with US teams at 30–50% below US market rates.

Business case

Why companies hire Data Analysts

Decisions are being made without reliable data

When product and growth teams are working from spreadsheets, disconnected tools, or conflicting reports, they're flying blind. A data analyst builds the single source of truth — structured, documented, and trusted across teams.

Experimentation is moving faster than measurement capacity

As companies run more A/B tests and product experiments, they need someone who can design the test correctly, track the right metrics, and tell the difference between a real signal and noise. Without that, teams ship features based on flawed reads.

Reporting takes weeks instead of hours

When every report requires an engineer to write custom queries, business agility suffers. A data analyst builds the dashboards and documented SQL that make common analyses self-service — compressing decision cycles from weeks to hours.

Key responsibilities of a Data Analyst

These are the day-to-day ownership areas you should expect from a strong hire in this role.

Write complex SQL queries against relational databases and cloud data warehouses to extract, transform, and aggregate business data

Build and maintain self-service dashboards in Tableau, Power BI, or Looker that stakeholders actually use

Run ad-hoc analyses answering business questions on revenue, retention, conversion, and product usage

Define and track KPIs and business metrics in partnership with product, marketing, and finance teams

Catch data quality issues and anomalies early, and work with data engineers to trace them back to their source

Frame business questions as analytical problems and present findings clearly — not just charts, but conclusions

When do you need this role?

You need visibility into what's driving revenue and churn

Leadership is making decisions based on gut feel because no one has built the dashboards that surface which customer segments, channels, and product behaviors actually move the needle. A data analyst builds the reporting infrastructure and recurring analyses that turn raw data into a signal leadership can act on.

Your team is drowning in ad-hoc data requests

When every team is pulling a data analyst in a different direction, nothing strategic gets built. A good data analyst creates self-service dashboards and documented metrics so teams can answer common questions on their own — freeing the analyst for deeper, higher-value work.

You're scaling your data team and need analytical coverage for a new product area

Embedding an analyst into a product squad or business unit gives that team the analytical depth to evaluate experiments, measure launch impact, and make roadmap decisions with confidence instead of guesswork.

The Process

Hire in 4 simple steps

From first call to signed developer in as little as two weeks.

Book a Call

A 30-minute discovery call where we understand your stack, team size, seniority needs, and timeline.

Get Matched

Within 7 days we deliver 2–3 hand-picked developer profiles from our vetted LATAM talent network.

Interview

You run your own technical interviews. We coordinate scheduling and give you our vetting notes to guide the conversation.

Hire

Select your developer, sign a flexible engagement agreement, and fast onboard

HOW WE VET DEVELOPERS

How we rigorously choose before you ever see them

From code quality to communication style, every candidate goes through a multi-layered process designed to ensure technical excellence and cultural alignment.

100%

Profile Review

We verify experience, outcomes, and seniority. Only proven professionals move forward.

12%

Soft Skills & Collaboration

We assess communication, collaboration, and English, no multiple-choice fluff.

Technical Evaluation

We test critical thinking and culture fit with real-world engineering challenges.

Precision Matching

Only aligned talent reaches you, by skills, timezone, and team style.

Skills we vet Data Analysts on

Not self-reported — each of these is tested during vetting before a candidate reaches your inbox.

SQL (PostgreSQL, Snowflake, BigQuery)Python (pandas, numpy)TableauPower BILooker / LookMLdbtExcel / Google SheetsStatistical analysisA/B testingData modelingCohort analysisFunnel analysisETL pipelinesBusiness intelligenceData storytelling

Use these to screen candidates

Data Analyst interview questions

Junior

01Write a SQL query to find the top 10 customers by revenue in the last 90 days, excluding customers who churned.
02How would you decide what chart type to use when presenting a trend versus a distribution versus a comparison?
03A stakeholder says 'our conversion rate dropped this week.' What are the first five questions you ask before touching the data?

Mid-level

01You build a dashboard and a week later a business leader says the numbers don't match what their team is seeing in a different tool. How do you investigate and resolve it?
02Walk me through how you'd design a retention cohort analysis for a B2B SaaS product. What would you measure and why?
03How do you know when an A/B test result is ready to call? Walk me through your decision criteria.

Senior

01How do you build a metrics framework for a company that doesn't have one? Where do you start, and how do you get buy-in across product, marketing, and finance?
02Describe a time when your analysis led to a decision that turned out to be wrong. What happened and what did you learn?
03A data warehouse migration is happening and there will be a two-week gap in historical data. How do you manage reporting continuity and stakeholder expectations?

FAQ

Data Analysts FAQ

Common questions about hiring data analysts from Latin America through NeuronHire.

Ready to hire Data Analysts?

Book a 30-minute call. We define your requirements and deliver the first pre-vetted candidate profiles in 7 days, no upfront fee.

No commitment required. First profiles in 7 days.

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