Our client in the US is looking for a Developer to build and maintain their bespoke client-facing reporting applications, turning validated campaign data into fast, reliable and white-label client experiences.
Core responsibilities
- Build and maintain client-specific reporting web applications and reusable dashboard components.
- Implement filters, deep-linked/parameterized views, maps, campaign selectors and other interactive features.
- Support embedded/iframe routes, full-page routes and client-branded domains.
- Implement appropriate access-control, authentication/obfuscation and usage-analytics patterns.
- Enhance dashboards based on client feedback while preserving consistency across the fleet.
- Partner with the Data Engineer on data contracts, definitions and release validation.
- Monitor dashboard health and participate in rollback/recovery planning.
- Replicate or migrate incumbent dashboard experiences without client-visible discontinuity when required.
Requirements
Must-have profile
- 4+ years building production dashboards, analytics applications or data-driven web applications.
- Strong data-visualization skills plus front-end/web application capability; not limited to static BI report building.
- Experience integrating applications with APIs/data warehouses and handling production deployments.
- Comfort with embedded experiences, URL parameters, authentication/access controls and responsive client-facing UX.
- Ability to work closely with data engineering and non-technical account stakeholders.
Preferred experience
- Experience in ad-tech, media analytics or marketing reporting.
- Experience with geospatial/map visualizations.
- Experience with white-label SaaS/reporting applications and multi-client deployments.
What success looks like
- Client dashboards remain available, accurate and easy to use.
- New client dashboards can be launched quickly from reusable components without feeling generic.
- Feature changes are released without breaking existing clients.
- Dashboard numbers and definitions stay aligned with the reporting/data pipeline.