A.
Proven on real data
Hands-on SQL, Python, and BI assessments mean the analyst you hire can do the work, not just list the tools.
/06 — Services
Data & Analytics
Your data already holds the answers — you just need someone to pull them out. We place analysts and engineers vetted on SQL, Python, and the BI tools your business actually runs.
What data & analytics covers
Most businesses are sitting on more data than they can use. The bottleneck is rarely the data itself — it is the skilled people to clean it, model it, build the pipelines, and turn it into dashboards and decisions. Offshore data talent closes that gap: analysts and engineers who are fluent in the tools and rigorous in the work, at a fraction of the cost of a local hire.
We place data analysts, BI developers, data engineers, and dashboard/reporting specialists from the Philippines and Latin America, vetted on the languages and platforms that actually do the work — SQL, Python, and BI tools such as Power BI, Tableau, and Looker. Compliance, payroll, secure access, and a dedicated account manager come standard, so you get analytical horsepower without the overhead.
Roles we place
The roles you can build in this practice.
Analysis & reporting
- Data analysts
- BI / dashboard developers
- Reporting specialists
Engineering
- Data engineers
- ETL / pipeline developers
Insight
- Analytics & insight support
- Operations analytics
Hiring for a single role? Hire offshore developers — or see the full roster of roles we place.
How we source & vet
Proven before you interview.
Data roles are vetted on the actual craft — querying, modeling, and visualizing real data:
- A hands-on SQL and (where relevant) Python assessment — real queries against real data, not multiple-choice trivia.
- A BI-tool screen on the platform you use: Power BI, Tableau, Looker, or another, including a sample dashboard or report task.
- A data-engineering assessment for pipeline roles — ETL design, data modeling, and reliability under realistic constraints.
- A communication check, because the value of analysis is lost if it cannot be explained clearly to the people who act on it.
Benefits
Why teams build this practice with us.
B.
Turn data into decisions
Clean pipelines, reliable dashboards, and clear reporting — the analytical capacity most teams cannot hire locally.
C.
40–60% cost savings
Skilled analysts and engineers at a fraction of US rates, with compliance and payroll already inside the price.
D.
Secure by default
Least-privilege access and sound data-handling practices — your data stays protected as your analytics scale.
Who it's for
Offshore data and analytics staffing is for businesses that have the data but lack the people to use it — operations teams flying blind without reporting, leaders who want dashboards they cannot build in-house, and growing companies that need analytical capacity without a full data team.
It suits SaaS and e-commerce companies rich in product and transaction data, finance and operations functions that live in spreadsheets, and any organization ready to make decisions on evidence rather than instinct.
Included as standard
Every placement comes with the same backbone.
Whichever role you build, the operator-built foundation is the same — so the risk of hiring abroad is already handled.
Why offshore staffingA.
Admin & compliance, handled
Compliant contracts, worker classification, and accurate multi-currency payroll across the Philippines and Latin America — we employ and pay the talent, you direct the work.
B.
A dedicated account manager
One accountable point of contact who knows your business and stays with you long after the placement — never a ticket queue or a rotating rep.
C.
10–20 days to a working hire
A vetted, ready-to-start professional on your timeline — not a stack of résumés to sift through yourself.
D.
Unlimited replacements
If a fit isn't right, we re-source at no extra fee. The placement risk is ours, not yours.
FAQ
Data & Analytics, answered.
Do you test for SQL and Python, or just ask about them?
We test. Data candidates complete hands-on SQL and, where the role needs it, Python assessments against real data — plus a BI-tool task — so you interview people who have already demonstrated the craft.
Which BI tools can you vet for?
The major platforms — Power BI, Tableau, Looker, and others — including a sample dashboard or report task on the tool you actually use. Tell us your stack on the discovery call.
Can you staff data engineering, not just analysis?
Yes — we place data engineers and ETL/pipeline developers as well as analysts and BI developers, vetted on data modeling and pipeline reliability. For broader technical needs see IT & technical support.
How is our data kept secure?
Through least-privilege access and sound data-handling practices, with engagements under NDA where appropriate. Our data-security guide covers the details.
Get started
Build your data & analytics team in 10–20 days.
Tell us the role. We'll come back with a vetted shortlist, the cost, and a clear timeline — no obligation.