A data analyst transforms raw data into insights that drive business decisions. They build reports, answer business questions with data, and help teams understand what is working and what is not.
A great Data Analyst does not just complete tasks. They own a function that directly frees you to grow. Here is what that looks like in a scaling business:
01Build and maintain dashboards and reports for key business metrics
02Analyze data to answer specific business questions
03Identify trends, patterns, and anomalies in business data
04Partner with operations, marketing, and finance teams on data needs
05Document data definitions and reporting standards
How this hire moves your business forward: A data analyst removes the guesswork from your business. When your team can see what is actually driving growth - and what is not - every decision gets better. This compounds over time.
Why LatAm
Why LatAm Produces Great Data Analysts.
LatAm data analysts often have technical backgrounds in statistics, engineering, or computer science, with experience in SQL, BI tools, and US business reporting.
The timezone overlap with the US is strong. LatAm professionals work within 1 to 3 hours of US Eastern time, so there is no async lag, no late-night handoffs, and no communication gap.
Skills & tools
Know What a Great Data Analyst Actually Brings to the Table.
Beyond the resume, here are the skills, tools, and traits that separate strong performers from strong interviewers.
Hard Skills
SQL
Data visualization
Statistical analysis
Dashboard development
Data storytelling
Common Tools
SQL / BigQuery / Snowflake
Tableau / Looker
Python (pandas, numpy)
Excel / Google Sheets
dbt
Soft Skills & Traits
Curious about business problems
Clear communicator of insights
Detail-oriented
Collaborative across functions
Comfortable with ambiguity
Compensation
What You Can Expect to Pay.
Based on Sur market data and regional benchmarks. Figures reflect total cash compensation.
Seniority
US Annual
LatAm Annual
You Save
Entry
$70,000
$24,000
$46,000 / yr
Mid level
$95,000
$35,000
$60,000 / yr
Senior
$129,000
$55,000
$74,000 / yr
Spot the right hire
What to Look For, and What to Watch Out For.
Green Flags
Can turn a vague business question into a clear analysis plan
Builds dashboards that people actually use
Communicates findings in plain language without hiding behind jargon
Proactively surfaces insights without always waiting to be asked
Red Flags
Produces reports nobody asked for instead of answering actual business questions
Strong SQL but cannot communicate what the data means
Builds beautiful dashboards with vanity metrics
Our process
Our Process for This Role.
We do not post and wait. Every Data Analyst search we run is built from scratch around your business, your stage, your team, and your goals. And at every step, we are thinking about how this hire helps you grow.
1
Onboarding Call
We start by understanding what you actually need.
2
Role Scoping and Assessment Design
We build a precise role profile and design the custom skills assessment before we search for anyone.
3
Sourcing
We source actively across LatAm and the Caribbean and through our network.
4
Prescreening and Phone Screen
Every candidate is internally screened then put through an English phone screen.
5
Your Shortlist
3 to 5 candidates delivered early in the process with background, audio clip, and our team's recommendation.
6
Skills Assessment
Shortlisted candidates take a custom assessment built to replicate the actual work of the role.
7
Hire and Guarantee
We support the offer, help structure compensation for retention, and back every placement with a 90-day guarantee.
2-3 weeks typically. Most placements are made within 21 days of the onboarding call.
Most LatAm professionals work within 1 to 3 hours of US Eastern time.
All Sur placements speak fluent English. We screen for language ability on every search. Moderate English acceptable depending on exposure.
A LatAm data analyst brings the same analytical rigor and SQL proficiency as a US hire at 40-50% of the cost. Many have advanced degrees in statistics, engineering, or business with applied data science training.
If your hire does not work out within the first 90 days for any reason, we replace them at no additional cost.
A data analyst answers business questions with existing data. A data scientist builds predictive models and works with more complex statistical methods. Most businesses need an analyst first.
Intermediate to advanced - comfortable writing complex queries with joins, subqueries, window functions, and aggregations. Python is a bonus but not always required.
Ready to Hire a Data Analyst Who Actually Moves the Needle?
Let us design the role together and find you the right person from LatAm.