Hire data analysts for answers your team can act on this week

Most companies have more data than questions answered. Cubehire data analysts write the SQL, build the dashboards and dig into the numbers behind sales, marketing, product and operations, then summarize what changed and why in a way managers can use.

The work

What our Data Analysts build

Typical projects companies bring a data analyst in for.

1

KPI dashboards

Clear dashboards in Looker, Tableau or Power BI with agreed metric definitions.

2

Ad hoc analysis

Quick, careful answers to questions like why revenue dipped last week.

3

Funnel and cohort reports

Conversion funnels, retention cohorts and product usage analysis.

4

Reporting automation

Manual spreadsheets replaced by scheduled, reliable reports.

Skills

Skills we test every data analyst on

  • SQL
  • Excel and Google Sheets
  • Tableau
  • Looker
  • Power BI
  • Google Analytics 4
  • Python basics
  • Metric definition
  • Data cleaning
  • Cohort analysis
  • Presentation
  • Documentation
Vetting

How we vet Data Analysts

Every data analyst sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Writes SQL to answer a business question with joins and window functions, graded on correctness.

  2. Check 2

    Spots a misleading chart or metric and explains the fix.

  3. Check 3

    Presents findings on camera clearly and concisely.

Available now

Vetted Data Analysts in the network

Each profile carries a scored AI interview and a human review.

See the whole network

Tell us about your data analyst role

New profiles are approved every week. Describe the role and we will send matched, interview scored Data Analysts within 48 hours.

Describe the role
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring Data Analysts

Questions about hiring Data Analysts

What companies ask before they hire a data analyst through Cubehire.

Talk to our team
They collect, clean and analyze data to answer business questions, build dashboards and reports, and explain trends so teams can make better decisions.
Hire an analyst for reporting, dashboards and business questions about what happened. Hire a data scientist for predictions, experiments and statistical modeling.
Tableau, Looker, Power BI, Metabase and Google Looker Studio are common. We match analysts to the tool you use.
Yes. Google Analytics, ad platforms and CRM data are common sources. Our analysts handle the data side, not campaign management.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

Ready to hire a data analyst?

Tell us the stack and the work. You get matched, interview scored Data Analysts within 48 hours.