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Business Intelligence Engineer
Location:
Overland Park, KS
Duration: / Term:
Contract
Experience Desired:
8+ Years
Job Description:
We are seeking a skilled Business Intelligence (BI) Engineer with strong expertise in Amazon QuickSight and AWS analytics services to support business teams in building scalable, self-service reporting solutions.
The ideal candidate will partner closely with business stakeholders to understand reporting needs, enable self-service analytics, and design reusable reporting frameworks, templates, and data flows that reduce compute costs and improve reporting efficiency across the organization.
This role requires a mix of technical BI development, data modeling, stakeholder collaboration, and cost optimization within AWS.
Key Responsibilities
1. QuickSight Development & Dashboard Engineering
Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight. Build high-performance dashboards optimized for large datasets and fast refresh times. Implement row-level security (RLS) and governance controls for business users. Create standardized QuickSight templates and dashboard frameworks that can be reused across teams. Design and maintain semantic layers and curated datasets for reporting. Optimize dashboards to reduce SPICE usage, refresh costs, and compute consumption. 2. Self-Service BI Enablement
Work directly with business users and analysts to enable self-service reporting capabilities. Provide guidance on best practices for dashboard design and data consumption. Create reusable data models, templates, and reporting accelerators. Develop training materials and documentation for business teams to build their own dashboards. Conduct workshops and enablement sessions for business users on QuickSight usage. 3. Data Modeling & Dataset Engineering
Design and maintain optimized datasets and data models for BI reporting. Build reusable data flows and data pipelines that serve multiple reporting use cases. Work with engineering teams to integrate data from sources such as:
AWS Redshift S3 Athena RDS Glue Data Catalog
Ensure datasets follow governance, quality, and consistency standards. 4. Reporting Frameworks & Reusable Components
Create reusable reporting templates, dataset templates, and QuickSight themes. Build standardized KPIs, calculated fields, and metric definitions. Design modular reporting components that can be used across multiple dashboards. Implement parameterized dashboards and reusable visual components. 5. Performance Optimization & Cost Management
Identify opportunities to reduce compute costs associated with reporting workloads. Optimize use of SPICE vs direct query based on performance and cost requirements. Monitor and tune query performance across Athena, Redshift, and other data sources. Implement efficient refresh schedules and dataset management strategies. Provide recommendations for cost-efficient reporting architectures on AWS. 6. Collaboration with Business & Data Teams
Partner with product owners, business analysts, and leadership teams to understand reporting requirements. Translate business needs into scalable BI solutions. Work with data engineering teams to ensure required datasets are available and optimized. Participate in requirements gathering and reporting roadmap planning. 7. Governance, Documentation & Standards
Establish BI standards and governance for QuickSight dashboards. Maintain documentation for:
datasets metrics dashboard logic reporting frameworks
Ensure adherence to data security and access policies. Implement naming conventions and versioning for dashboards and datasets. Required Qualifications
8+ years of experience in Business Intelligence, Analytics Engineering, or Data Visualization. Strong hands-on experience with Amazon QuickSight. Experience designing interactive dashboards and enterprise reporting solutions. Solid knowledge of SQL and data modeling. Experience working with AWS analytics services such as:
Athena Redshift S3 Glue
Experience enabling self-service analytics for business users. Strong understanding of data visualization best practices. Experience optimizing reporting performance and cost efficiency. Preferred Qualifications
Experience building QuickSight templates, themes, and reusable datasets. Experience with BI governance and semantic layer design. Familiarity with data pipelines and ETL frameworks. Knowledge of AWS cost optimization strategies. Experience supporting large-scale enterprise reporting environments. Experience with other BI tools such as Tableau, Power BI, or Looker. Key Skills
Amazon QuickSight SQL & Data Modeling AWS Analytics Stack Dashboard Design BI Architecture Self-Service Analytics Enablement Performance Optimization Cost Optimization Stakeholder Communication Deliverables / Expected Outcomes
Standardized QuickSight reporting templates Reusable datasets and semantic reporting layers Improved self-service BI adoption across business teams Reduced compute and reporting infrastructure costs Scalable dashboard frameworks and governance standards
Key Skills:
Business Intelligence, AWS, QuickSight, SQL, Data Modeling, Athena, Redshift, S3, Glue
Sprachkenntnisse
- English
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