Hire data analysts who turn enterprise data into actionable business insights — SQL analysis, Power BI dashboard development, Excel modeling, data storytelling, and the business acumen to ask the questions that data can actually answer. Data analysts who bridge the gap between raw data and business decisions. Pre-qualified through our Analytics & BI consulting experts.
Hire data analysts who understand business context, not just SQL syntax. A query that returns correct numbers is useless if it answers the wrong question. Our matching evaluates for business acumen: can this analyst understand why the CMO needs customer acquisition cost by channel and cohort — not just execute the SQL?
Production data analysis requires: SQL depth — window functions, CTEs, subqueries, performance optimization. Visualization — dashboard design that communicates, not just displays. Statistical literacy — understanding significance, correlation vs causation, sampling bias. Business communication — presenting findings to non-technical stakeholders.
Data analysts deliver: Reporting — Power BI dashboards, Excel models, ad-hoc analysis for business questions. Data exploration — pattern discovery, trend analysis, anomaly investigation. KPI development — defining metrics, building measurement frameworks, establishing baselines.
Also: Self-service enablement — building report templates and datasets that business users can explore independently. Data storytelling — executive presentations that turn data into recommendations. Connected to our data analytics consulting.
Seniority: Mid to Senior (3-8 yrs)
Avg time to profile: 4.3 days
Engagement: 3-18+ months
Request Profiles →Your analysis needs: business domain, tools, report volume, stakeholder level, and data maturity.
Data analysts from our network with domain experience matching your industry.
Scenario: given a business question, write the SQL, build the visualization, and present the finding.
Curated profiles in 4.3 days.
Dashboards, reporting, self-service.
Pipelines, warehouses, governance.
ML, AI, and advanced analytics.
4.3-day average to first curated profile. For urgent backfills, we've delivered within 48 hours from 200+ pre-qualified delivery partners.
Mid through principal level. Most data placements are senior (5-10 years) or lead (8-15 years). Specialists who build production data systems from day one.
4-stage consulting-led matching: skill assessment, scenario-based evaluation (real data problems, not SQL quizzes), reference verification, and domain review by our data engineering experts. 92% first-match acceptance rate.
Staff augmentation, project delivery, or managed capacity. 3-18+ months. Flexible scaling as data needs evolve.
Hire data analysts who translate enterprise data into business decisions — SQL, Power BI, and data storytelling.