Reports and dashboards built from your data, globally or locally.
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Best fit: A team that needs dashboards and reporting.
Core responsibilitiesBest fit: Data cleanup and pipeline maintenance, handled as its own dedicated lane.
Core responsibilitiesBest fit: Best fit for a team leaning on someone for business analysis and insight.
Core responsibilitiesBest fit: Suited to companies whose advanced SQL and data modeling keeps slipping down the priority list.
Core responsibilitiesBest fit: The senior pick: analyst, cross-functional strategy, with enough range to own more than one lane at once.
Core responsibilitiesA data analyst turns raw data into accurate reporting, useful dashboards, and answers your team can use to make decisions.
From your first brief to a Data analyst working in Looker and SQL, you stay with one recruiter from scope through start.
Tell us the work to own, from data analyst reporting and dashboards to data pipelines and cleanup, plus the systems, coverage hours, and outcomes that matter. We turn that into a focused search brief.
We screen candidates for data analyst reporting and dashboards, data pipelines and cleanup, and practical fluency in Looker and SQL. You review a shortlist with relevant context.
Choose your candidate and hiring model. We coordinate the handoff into your tools, operating process, and first-week priorities.
Best for teams that need reliable reporting, clear dashboards, and answers from the data they already collect.
Dashboards get built and maintained in your BI tool of choice, instead of rebuilt from scratch every time someone needs a number.
Data gets cleaned and structured from multiple sources into one usable set, instead of copy-pasted between spreadsheets by hand.
Recurring reports go out on the schedule stakeholders actually need, instead of whenever someone remembers to pull them.
One dedicated analyst costs less than the salary, benefits and payroll taxes a full-time in-house hire adds up to.
Anomalies and trends get flagged before someone has to ask, instead of discovered after a decision has already been made.
Tell us your BI stack and data sources on the discovery call, and we screen candidates with direct experience in that exact setup.
5-Stage Vetting with AI-assisted screening. Fewer than 1% of applicants are presented to clients.
Every candidate is screened on SQL fluency instead of just dashboard-building in a no-code tool.
Fully managed global talent from $12 an hour, or US direct hire from 12.5% of first-year salary. Compare the two on our [staffing solutions page](/solutions/).
"They built the analytics and automation our leadership now runs on, recovered tens of thousands in freight claims and cut manual work by 96%."
"It was very easy working with HireHawk, from looking for viable candidates, the interview process, all the way to implementation of your hire, they handle it all. We are also very happy with our hire. Very easy and seamless process."
"HireHawk filled two senior roles in under two weeks. The candidates were sharper than anything our in-house recruiter surfaced in months."
"Her scope grew within months and our leadership asked to meet her in person. We came back to HireHawk to expand the rest of the team."
"When our workflow broke down she built a tracking system to stop it happening again, without being asked."
The right model depends on the seat, not the company. Some roles need someone in the building; the rest do not, and cost far less remotely.
HireHawk is a staffing agency for growing US companies with industry-specialized recruiters. This is one of the seats we fill most: we recruit for it, run 5-Stage Vetting, and either employ the hire on global talent or place them directly on your payroll.
Your analyst already works in SQL as standard, plus BI tools like Looker, Tableau or Power BI, and often Python for deeper statistical analysis. Name your actual stack on the discovery call, and we match you with someone who already builds dashboards in it, instead of learning your tools live.
Yes. Tell us where your data actually lives, your database, your product analytics, your CRM, on the discovery call, and we screen for direct experience with that exact setup. You get someone who already knows how to pull clean numbers from it, instead of a generalist learning your schema live.
No. Your data analyst reports on what already happened and builds the dashboards your team checks regularly to make decisions. A data scientist instead builds predictive models and runs experiments about what might happen next. Most growing companies need an analyst first, and add a data scientist once that foundation exists.
You'll see vetted candidates within 10 business days of your discovery call, so you're not waiting weeks to start interviewing. Once you've made your pick, onboarding takes 21 days, whether the hire joins your payroll directly or comes on as a fully managed global hire through HireHawk.
You're covered either way. If you go with global talent, you get 100% performance replacement at no extra cost. If you choose US direct hire, you're backed by a 60-day replacement guarantee, so a bad fit doesn't turn into a bad quarter for your business.
We match analysts to the tools your data already lives in, including spreadsheets, SQL, BI platforms, and common warehouse environments. The discovery call defines the systems and reporting questions that matter, and vetting checks for relevant practical fluency.
Tell us your data sources and your BI stack. We'll put a vetted analyst on it.
