About the company
This position is listed on behalf of a partner company, who manages all applications and next steps.
Responsibilities
- Design and develop executive dashboards covering key business, operational, and performance metrics.
- Build self-service analytics capabilities that enable business users to explore and understand data independently.
- Develop and optimize Amazon QuickSight semantic datasets, including SPICE capacity management, refresh processes, calculated fields, parameters, and performance tuning.
- Migrate existing Power BI dashboards and reports to Amazon QuickSight while ensuring continuity and improved performance.
- Partner with data engineering teams to define semantic layers, canonical data models, and standardized enterprise KPI definitions.
- Contribute to business glossaries, data dictionaries, and KPI catalogs to ensure consistency across reporting solutions.
- Enable natural language and AI-assisted analytics experiences through structured semantic definitions and knowledge repositories.
- Establish dashboard governance standards, security controls, and reporting best practices.
- Conduct dashboard validation, gather stakeholder feedback, and continuously refine analytics solutions.
- Support user acceptance testing, production deployments, documentation, knowledge transfer, and post-production activities.
Requirements
- 5+ years of experience in Business Intelligence, analytics engineering, or a related field.
- Strong hands-on experience with Amazon QuickSight, including datasets, SPICE, calculated fields, parameters, row-level security, and dashboard design.
- Proven experience migrating BI solutions from Power BI to QuickSight or similar BI platform migrations.
- Advanced SQL skills, including complex queries, window functions, and query performance optimization.
- Strong understanding of dimensional data modeling, semantic layers, and star/snowflake schemas.
- Experience defining enterprise KPIs, business glossaries, data dictionaries, and reporting standards.
- Working knowledge of AWS analytics services such as Amazon Redshift, Amazon Athena, and Amazon S3.
- Experience creating self-service analytics environments for non-technical users.
- Strong data visualization and storytelling skills with the ability to convert business needs into clear dashboards.
- Familiarity with Git, CI/CD processes, and version-controlled BI development practices.
- Excellent analytical thinking, troubleshooting abilities, stakeholder management skills, and communication capabilities.
- Preferred qualifications: Experience with Amazon Bedrock, conversational analytics, or LLM-assisted BI solutions; Experience with Power BI, including DAX and Power Query; Knowledge of AWS Lake Formation, AWS Glue Data Catalog, and metadata or lineage tools; Exposure to predictive analytics visualization and machine learning outputs; AWS certifications related to data engineering, analytics, or cloud architecture are a plus.
Conditions
- Fully remote work opportunity.
- Contract-based engagement with flexibility for remote collaboration.
- Opportunity to contribute to a large-scale cloud data modernization initiative.
- Exposure to advanced BI platforms, AWS technologies, and AI-assisted analytics solutions.
- Opportunity to work with cross-functional teams on enterprise-level data projects.
- Professional growth through experience with modern analytics architecture and data governance practices.