Camila Top Rated+
Senior Data Analyst
COL Colombia
Available
LATAM REVENUE OPERATIONS
Hire Remote Data Analysts from Latin America
SQL-fluent analysts who turn your CRM data into pipeline decisions. Part-time or full-time, placed in 48 hours.
10,500+
Placements over 10 years
48 hours
Match SLA
24 months
Replacement guarantee
Expensify · Apollo.io · Vonage · GetAccept
Anchor customers
Expensify
Apollo.io
Vonage
GetAccept
4 anchor customers. 28 combined years. Still hiring.
Every candidate is scored on 7 retention dimensions
We don't just match on skills. We predict who stays.
Tell us what you need
2 minutes. No commitment. Get matched in 48 hours.
Which role are you hiring for?
What your Data Analysts will do
Data Analysts translate CRM data, marketing performance, and pipeline metrics into actionable decisions. They build and maintain dashboards in Looker, Tableau, or HubSpot reporting, write SQL against your data warehouse, run ad-hoc analysis for leadership, and flag revenue trends before they become problems.
Typical profile
Experience
2–5 years in data analytics, business intelligence, or revenue operationsCore skills
SQLDashboard buildingPipeline reportingRevenue attributionData modelingAd-hoc analysis
Tools
SQLLookerTableauHubSpot ReportingSalesforce ReportsGoogle Sheets
Availability
Full-time or part-time, US business hours50+
Pre-vetted LATAM Data Analysts available now
$2,500–$4,000/mo
Full-time LATAM Data Analyst, all-in
48hr
Matched and interview-ready
Ready to hire?
Data Analysts matched in 48 hours
No cost to get started. Tell us what you need and we will curate your shortlist.
A day in the life of your Data Analysts
9:00 AM — Pipeline movement review
Review overnight pipeline changes and flag unusual stage conversions to the Head of Sales before the morning standup.
SalesforceHubSpot
Typical output
Pipeline anomaly report shared via Slack before 9:30 AM standup.
10:00 AM — Revenue dashboard refresh
Update the weekly revenue dashboard: attribution by channel, CAC trends, pipeline velocity, and MQL-to-close conversion.
LookerTableauGoogle Sheets
Typical output
Weekly dashboard refreshed and distributed to RevOps and leadership.
11:30 AM — Ad-hoc leadership analysis
Respond to leadership requests — "why did inbound drop last week?" — with a structured data answer, not a guess.
SQLSalesforce ReportsGoogle Sheets
Typical output
Analysis memo delivered same business day with supporting data.
1:00 PM — Data warehouse queries
Write SQL against the data warehouse to build datasets for monthly board metrics, forecasting models, and cohort analysis.
BigQuerySnowflakedbt
Typical output
Board-ready datasets queried and validated before EOD.
3:00 PM — RevOps and Finance sync
Weekly alignment with RevOps and Finance on forecasting accuracy, quota pacing, and pipeline coverage ratios.
SalesforceGoogle Sheets
Typical output
Forecast variance report and coverage ratio update for the leadership call.
4:30 PM — BI tool build
Build new Looker views or Tableau workbooks — CS renewal cohort health, rep productivity benchmarks, or marketing attribution models.
LookerTableauMetabase
Typical output
New BI views deployed and shared with stakeholders for review.
When to hire Data Analysts
Common scenarios where LATAM Data Analysts deliver outsized ROI.
Your CRM data is messy and nobody trusts the numbers
Reports conflict. Leadership asks for pipeline coverage and gets three different answers. A Data Analyst owns the source of truth and makes reporting reliable.
Team size: 1 analyst
Timeline: 3 weeks to trusted dashboards
You need real attribution across marketing and sales
You spend on ads, content, and outbound but cannot tell which channel is driving deals. A Data Analyst wires your tools together and builds honest multi-touch attribution.
Team size: 1 analyst
Timeline: 4 weeks to first attribution model
Board meetings take two weeks to prep
Your CEO and CFO spend days pulling numbers manually. A Data Analyst automates the recurring dashboards so board prep takes an hour instead of two weeks.
Team size: 1 analyst
Timeline: 3 weeks to automated board pack
Why companies trust CloudTask
Pre-vetted Data Analysts professionals with verified skills, confirmed availability, and a replacement guarantee.
Replacement guarantee
24-month free replacement guarantee on every hire.
Human-managed matching
Every match reviewed by our team. AI assists, humans decide.
Interview-ready
Cover video, verified skills, confirmed availability.
Availability confirmed
Verified within the last 30 days.
Data Analysts verified
Experience confirmed through work history and assessment.
LATAM specialists
10,000+ GTM placements across Latin America and the Caribbean.
10,000+
GTM hires placed
4x
Inc. 5000 honoree
48hrs
Time to first matches
85%
90-day retention
How it works
1
Tell us what you need
2-minute qualification. No commitment.
2
Get vetted matches
3-5 curated candidates within 48 hours.
3
Interview and hire
We handle scheduling, logistics, and onboarding.
Data Analysts ready to start
Vetted, available, and experienced. Sign up to see exact rates and book interviews.
Top Rated+
Available
Camila
Senior Data Analyst
COLColombia
SQLLookerSalesforceBigQueryFluent (C1)
Top Rated
Available
Rodrigo
Revenue Data Analyst
MEXMexico
SQLTableauHubSpot ReportingSnowflakeFluent (C1)
Top Rated
Available
Valentina
BI Data Analyst
ARGArgentina
SQLdbtMetabaseSalesforce ReportsFluent (C1)
"We had four people building different versions of the same pipeline report. Our CloudTask Data Analyst built one source of truth in Looker and made it automated. Now we all look at the same number."
Sarah
Head of Revenue Operations, Series B SaaS, 90 employees
Case study
How a Series B SaaS eliminated conflicting pipeline reports and cut board prep from 2 weeks to 1 hour
Board prep time cut from 2 weeks to under 1 hour
A Series B SaaS had four different pipeline reports that never agreed. Leadership spent two weeks before every board meeting manually reconciling numbers. After hiring a LATAM Data Analyst through CloudTask, they built a single Looker dashboard as the source of truth, automated the weekly revenue pack, and set up BigQuery queries that refreshed nightly. Board prep now takes under an hour.
Common questions about hiring Data Analysts
What does the 24-month replacement guarantee cover?
If your hire leaves, underperforms, or isn't the right fit within 24 months of placement, we replace them at no additional cost. This is backed by our Role Intelligence System which scores every candidate on 7 retention dimensions before match.
Why LATAM?
US business hours alignment, and LATAM GTM talent has 24-month average tenure with our buyers. We've placed 10,500+ professionals over 10 years with anchor customers like Expensify, Apollo.io, Vonage, and GetAccept staying 5 to 8+ years.
How does CloudTask predict retention?
Every candidate is scored across 7 dimensions tied to long-term fit: AI Readiness, Communication, Long-Term Upside, Marketplace Readiness, Role Fit, SaaS Readiness, and Tool Fluency. Trained on 10,500+ placements over 10 years.
What is the difference between a Data Analyst and a RevOps Analyst?
RevOps Analysts focus on revenue operations specifically — pipeline, conversion rates, sales productivity. Data Analysts have a broader remit: they handle revenue data but also marketing, CS, and cross-functional analysis. For most early-stage companies a RevOps Analyst is enough. Companies past Series B usually need both.
Do LATAM Data Analysts know US data warehouses like BigQuery and Snowflake?
Yes. The LATAM Data Analysts on CloudTask have hands-on experience with BigQuery, Snowflake, Redshift, and PostgreSQL. They have worked directly with US companies and understand the data models, not just the syntax.
How do I know their SQL is production-grade?
Every Data Analyst on CloudTask completes a SQL assessment during vetting. You also review their portfolio before matching — they show you real dashboards they have built and queries they have written for past employers.
Can they work with our BI tool?
Most of our Data Analysts have Looker, Tableau, or HubSpot reporting experience. If you use something more specific (Hex, Sigma, Holistics, Metabase), flag it during matching and we will filter to candidates with that experience.
Do I hire them full-time or can I start part-time?
CloudTask offers both full-time and part-time Data Analysts. Most buyers start with a part-time engagement (around 20 hours per week) to validate the hire, then scale to full-time as reporting needs grow. Whether part-time or full-time, your analyst works dedicated hours for you — not split across multiple clients. Flat monthly fee, no hourly billing.
Related hiring paths
$299/mo CloudTask membership. No placement fees. 24-month guarantee included. See pricing details
Your next data analyst. Guaranteed for 24 months.
Get matched in 48 hours. If they don't work out, we replace them free.
No cost to get started Matches in 48 hours 24-month replacement guarantee