Data Analysts
Hire data analysts for SQL reports, dashboards, KPI definitions, spreadsheet models, data cleanup, metric QA, and recurring insight summaries leaders can trust. Best for teams that need trusted metrics, cleaner dashboards, and recurring reporting visibility without building a full analytics department.
First-profile timing agreed after intake Remote, dedicated, monthly capacity Remote staffing, HR, payroll and continuity supportBest for teams that need trusted metrics, cleaner dashboards, and recurring reporting visibility without building a full analytics department.
What we screen for
What your shortlist includes
Profile summary, tool match, availability, compensation expectations, interview notes, and fit risks to validate.
A practical onboarding sequence for remote data analysts.
Start with one owned workflow, a named reviewer, and clear approval boundaries. Expand the scope after the first output review.
Build a wider remote team around this function.
Compare the model, budget, and support layer before requesting profiles.
Buyers usually compare role cost, management ownership, HR support, and replacement coverage before they request a shortlist.
Confirm the operating fit before hiring.
COOs, founders, project leads, and department managers who need process follow-through, reporting, vendor coordination, or delivery tracking.
Good fit
Hire a data analyst when recurring reporting, dashboards, KPI tracking, and data cleanup need a dependable owner inside the company's tools.
Pause when
Do not use this role to run stakeholder requirements, process redesign, or system-change documentation. If the problem is workflow clarity, scope a business analyst instead.
Budget factors
Operations support often starts around $1,300-$1,800/month, depending on reporting depth, stakeholder load, and process complexity.
Data analyst vs business analyst
The two roles are adjacent, but they answer different buying questions.
| Decision point | This role | Adjacent role |
|---|---|---|
| Primary job | Create trusted reporting, dashboards, KPI definitions, and data-quality notes. | Translate stakeholder needs into requirements, process maps, and acceptance criteria. |
| Best when | The team has data but cannot trust or use it consistently. | The team cannot agree what should be built, changed, or documented. |
| Should not own | Process redesign decisions or product requirements without a BA or owner. | Dashboard engineering, SQL ownership, or recurring metric QA as the main deliverable. |
Turn data analysts requirements into a shortlist.
Share responsibilities, tools, seniority, time zone, budget range, and desired start date.