Hire business intelligence developers who build dashboards around the decision, not just the data that was easy to pull.
Reporting, dashboards, and data warehousing, built by BI developers who start from the decision a dashboard needs to support, so what ships gets used, not just glanced at once in a launch demo.
Reports built around the specific decision a stakeholder needs to make, not every metric available.
Warehouse schemas and semantic layers that keep metric definitions consistent across every report.
Reliable ETL/ELT from your source systems into the warehouse that powers reporting.
One agreed definition per metric, so finance and marketing aren't citing different numbers for the same thing.
What strong Business Intelligence Developers know cold.
from $24/hr
A typical range. Your final rate depends on experience level, timezone overlap and how long you book for.
Four stages. Three percent get through.
- 01Screening38%Résumé, background, and communication check, the fastest way to rule out a bad fit.
- 02Technical Deep Dive22%A senior engineer probes real system design and stack depth, not trivia.
- 03Live Build Test9%A timed, real-world task. We watch how they actually ship, not just what they claim.
- 04Client Fit Interview3%Ownership, reliability, and how they work inside your team on day one.
- Shortlist in 48 hoursProfiles, not a waiting list.
- Free replacementWrong fit swapped at no cost.
- No conversion feeHire them direct whenever you want.
- IP yours from day oneAssigned in writing, not at handover.
- Month to monthNo lock-in, and no notice period.
Shipped, not slideware.
On camera, in their own words.
Why he brought his development work to Code Elevator.
Hiring for something adjacent?
Answered before you ask.
BI developers build reporting and dashboards on data and metrics that are already well-defined; data scientists run original analysis and modeling to answer questions that don't have a standard report yet. Many engagements need both, staffed as distinct roles.
It depends on who's using it and how, Looker and Power BI suit larger teams needing governed self-serve access, Metabase or Tableau often fit smaller teams faster. We'll recommend based on your team's size and existing stack, not a default preference.
Yes. Usually the fix is consolidating conflicting metric definitions into one governed semantic layer, which is where most 'nobody trusts the dashboard' problems actually originate.
Both, when needed. A dashboard is only as reliable as the pipeline feeding it, so ETL/ELT work is often part of the same engagement rather than assumed to already exist.
Every way out of this hire is already written down.
Not a fit? Replace anyone in the first two weeks. No questions asked, no replacement fee. We re-match from the same vetted pool.
You pay only for engineers who actually start. Seeing candidates costs nothing.
Dedicated and managed engagements run on a monthly rolling contract. Cancel with notice.
You see the number before you commit. Nothing is added on top of it later.
Bring us the decision. Three matched engineers in 48 hours.
Tell us what your team needs to decide and how often. We'll build the dashboard that actually answers it, not a data dump.
We reply within an hour during our working day in India and the UAE.