Senior BI Developer - Self-Service Analytics, AWS & Cloud Data

**FULLY REMOTE**

ScolerTec is seeking multiple Senior Business Intelligence (BI) Developers to support a large-scale cloud data modernization and analytics program. The role will design and develop enterprise dashboards, semantic models, reporting solutions, and self-service analytics capabilities that can be used by both technical analysts and nontechnical business users .

The ideal candidate combines strong SQL and data-modeling skills with experience across traditional BI platforms such as Amazon QuickSight, Power BI, and Tableau , as well as intuitive self-service analytics platforms such as Qlik, ThoughtSpot, Strategy ONE/MicroStrategy, Sigma, Sisense, or similar tools .

Key Responsibilities

• Design, develop, test, deploy, and maintain enterprise BI dashboards, reports, scorecards, and analytical applications.
• Build self-service analytics solutions for nontechnical business users , enabling intuitive data exploration with minimal technical training.
• Develop solutions using tools such as Amazon QuickSight, Qlik Sense/QlikView, ThoughtSpot, Strategy ONE/MicroStrategy, Sigma, Sisense, Tableau, and Power BI .
• Design semantic models, dimensional models, star schemas, measures, KPIs, and reusable analytical datasets.
• Write and optimize complex SQL queries supporting reporting and analytics.
• Integrate BI solutions with cloud and enterprise data platforms including AWS, Databricks, Redshift, Snowflake, relational databases, and data lakes/lakehouses .
• Implement row-level security, role-based access, governed datasets, data-quality controls, and consistent KPI definitions.
• Optimize dashboards, semantic models, queries, and datasets for performance and scalability.
• Partner with business stakeholders to translate requirements into intuitive visualizations and self-service analytical experiences.
• Support CI/CD, source control, testing, documentation, deployment, and production troubleshooting for BI solutions.
• Work closely with data engineering, architecture, governance, and platform teams.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related discipline, or equivalent experience.
• 5+ years of hands-on BI development experience in enterprise environments.
• Strong hands-on experience with SQL and dimensional/semantic data modeling .
• Experience developing enterprise dashboards and analytical applications using multiple BI platforms.
• Hands-on experience with at least one business-user-oriented self-service analytics platform , such as:
• Qlik Sense/QlikView, ThoughtSpot, Strategy ONE/MicroStrategy, Sigma, Sisense, or comparable platform.
• Experience with one or more traditional enterprise BI tools such as Amazon QuickSight, Power BI, or Tableau .
• Experience implementing security, governance, data validation, and performance optimization for BI solutions.
• Experience working with cloud data platforms and large enterprise datasets.
• Strong communication skills and experience working directly with business stakeholders.

Preferred Qualifications

• Hands-on Amazon QuickSight experience.
• Experience with AWS data services such as Redshift, Athena, S3, RDS, or related services.
• Experience with Databricks and lakehouse architectures.
• AWS GovCloud or regulated/federal environment experience.
• Experience with Informatica or other enterprise ETL/data-integration platforms.
• Experience designing analytics specifically for nontechnical/end-business users .
• Federal government or other regulated-industry experience.