STACK IT analyst candidates do more than build reports. They source, adapt, and support decision-making across teams.
Writes and validates queries without leaning on engineers.
Builds dashboards that lead to actionable decisions.
Adjusts reporting for execs, product, and finance.
Asks the right questions and flags issues early.
We flag weak profiles early, before they land in your shortlist.
We stand behind every hire with a 90-day guarantee
Analysts who can source, shape, and explain the data are the ones teams keep.
Handles PII, access, and compliance with care.
One client’s forecast reporting kept breaking during audits. Our data analyst rebuilt the logic and found a $2.4M discrepancy before sign-off.
Bring on someone who can own reporting end-to-end from source to insight.
STACK IT’s evaluation framework focuses on the traits that separate surface-level reporting from analysts who can support decision-making.
We assess how analysts write SQL, catch inconsistencies, and pull from warehouse structures without waiting on engineers. These are the analysts who don’t slow down delivery.
We evaluate whether the data analyst’s dashboards are structured to support informed action with clear logic, context, and annotations that facilitate effective decision-making.
Strong analysts adapt to their business environment. We assess how they present to executives, work with product managers, and adjust delivery when things change mid-sprint.
We look for people who question assumptions, flag anomalies, and catch mismatched definitions before they become issues. Curiosity is a delivery skill.
Fast answers only matter if they’re right. We screen for analysts who can manage pace without losing quality or skipping validation under pressure.
STACK IT data analysts have resolved dashboard failures, fixed forecasting blind spots, and rebuilt reporting from the source up.
A SaaS organization needed tighter ARR oversight.
The analyst we placed integrated CRM, billing, and usage data to rebuild forecast logic, identifying a $ 150,000 shortfall early enough to close the gap.
A national retailer couldn’t reconcile inventory between its warehouse system and storefront reports.
The analyst we placed mapped data from three separate systems and introduced a daily exception report for mismatches. Within weeks, fulfillment delays dropped 40% and same-day stock accuracy jumped to 98%.
An e-commerce company had been reporting inflated conversion metrics for months. The analyst we placed audited the SQL layer, uncovered flaws, and rewrote the query structure.
The fix identified a 12% overstatement that had impacted campaign planning across six business units.
We place analysts across business functions—from campaign analysis to revenue forecasting. Each role has different demands, and we know how to match them.
| Focus Area | Key Skills | Use Cases |
|---|---|---|
| Marketing | Attribution, funnel metrics, cohort analysis | Campaign insight, churn detection, ROAS analysis |
| Product | Event tracking, A/B testing, feature usage | Usage trends, experiment validation |
| Finance | Forecasting, pipeline accuracy, anomaly detection | Budgeting, revenue clarity, variance analysis |
| Customer Support | Ticket analysis, sentiment tracking, escalation trends | Workflow optimization, service team metrics, CX insight |
| Operations | Inventory metrics, fulfilment timing, supply chain data | Bottleneck analysis, logistics planning, vendor performance |
| Executive & Strategy | KPI tracking, board reporting, OKR alignment | Decision support, quarterly reviews, strategy reporting |
| People & HR | Engagement analysis, attrition modelling, DEI dashboards | Workforce planning, culture metrics, pulse tracking |
Whether you need short-term cleanup or fullscale reporting leadership, we’ll help you scope the right fit.
Poor hires don’t break things fast; they slow everything down without anyone noticing.
Data quality issues cost organizations millions in lost productivity and misinformed decisions.
According to Forrester, poor data quality can reduce team efficiency by 20–30%. For analysts, this often means fixing logic, chasing missing context, or rebuilding reports mid-cycle, rather than driving usable insights.
2-3
weeks
Average time
to hire full-time
That’s why our clients stay and why our hires do too.
A major bank was unable to reconcile loan performance data across its systems. Our analyst standardized the source logic, added validation checks, and introduced variance reporting, resulting in a 32% reduction in reporting errors.
Yes. And we go deeper by reviewing how those tools shaped performance, trust, and teams in past roles.
No. We prioritize analysts who can shape open-ended requests into actionable reporting.
Contract roles can start in 1–2 weeks. Full-time timelines vary by complexity.
We specialize in rapid contract placements for that exact reason.
Yes. We can source data analysts that are vetted for governance awareness and data handling discipline.
When insight matters, the right analyst will change how your teams work.
That’s our STACK.