Hire BI developers who build enterprise reporting and analytics platforms — Power BI semantic models, SSRS paginated reports, Tableau dashboards, and the data modeling that determines whether your BI investment produces trusted insights or conflicting numbers. BI developers who understand dimensional modeling, not just report layout. Pre-qualified through our BI consulting experts.
Hire BI developers who build the semantic layer — not just reports on top of it. Most BI developers can build a chart. Fewer can design the dimensional model, define conformed metrics, implement row-level security, and optimize query performance for 500 concurrent users. The semantic layer is what separates "five versions of revenue" from "one trusted number."
Production BI requires: Dimensional modeling — star schema, conformed dimensions, slowly changing dimensions. Semantic layer — governed metric definitions, calculation groups, hierarchies. Performance — aggregations, query folding, composite models, partitioning. Governance — deployment pipelines, workspace management, data certification.
BI developers build: Semantic models — dimensional models with governed metrics, KPI definitions, and security roles. Dashboards & reports — executive, operational, and self-service reports across Power BI, Tableau, or SSRS.
Also: Data transformation — Power Query, SQL views, stored procedures for report-ready data preparation. Embedded analytics — BI embedded in applications, portals, and SharePoint. Connected to our Analytics & BI consulting.
Seniority: Mid-Senior to Lead (4-10 yrs)
Avg time to profile: 4.3 days
Engagement: 3-18+ months
Request Profiles →Your BI platform, data sources, user count, and reporting requirements.
BI developers from our data network with enterprise platform experience.
Scenario: design the semantic model for your reporting needs with governed metrics.
Curated BI 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 BI developers who build enterprise reporting platforms — semantic models, dashboards, and governed analytics.