QuickSight Systems Analyst-061025

Role Summary:
As we re-platform to a new innovative AWS ecosystem the QuickSight System Analyst is critical for ensuring our business has reliable actionable reporting at every step. Reporting to the Director of Technology on the Technology Team youll develop and deploy robust data reports in Amazon QuickSight enabling teams to access vital information and make smarter decisions as we migrate to the new platform.

Key Accountabilities: Building and maintaining data reports by:
Designing and building reports in Amazon QuickSight that present complex data in a clear accurate and usable format
Configuring datasets calculated fields filters and parameters to ensure the data is relevant and accessible
Using SQL to connect to and extract from data sources like DB2 PostgreSQL and Amazon Aurora
Managing report publishing and user access permissions via AWS IAM
Troubleshooting and optimizing report performance especially with large or complex datasets Collaborating with business and tech teams by:
Gathering reporting requirements from stakeholders and translating business questions into effective technical solutionsDocumenting report logic and processes to support knowledge transfer and long-term maintainability
Supporting teams in accessing understanding and using reports during and after the platform migration Supporting platform transition and data integrity by:
Providing expertise in ETL concepts and basic data modeling as needed for report accuracy
(Optional/Preferred) Assisting with aspects of AWS data pipelines (Glue Lambda S3) to ensure smooth integration with QuickSight
Ensuring all reports are up-to-date and in sync with business needs throughout the migration

Required Skills & Expertise:
2 years experience building and deploying data reports in Amazon QuickSight
Proficient in SQL with experience accessing sources like DB2 PostgreSQL Amazon Aurora or similar
Solid skills in configuring QuickSight datasets calculated fields filters and parameters
Able to publish reports and manage access using AWS IAM
Comfortable handling and optimizing large datasets for report speed and reliability
Requirement gathering and translation skills for business questions
Familiarity with ETL concepts and basic data modeling Preferred:
Logistics or transportation reporting background (TMS EDI shipment/tracking data)
Exposure to AWS Glue Lambda S3 Key Behavioral Components:
Highly detail-oriented with a commitment to accuracy
Proactive and self-motivated comfortable working independently
Strong communicator who can explain technical info in everyday language
Collaborativeenjoys working across teams to solve reporting challenges Performance Indicators:
Business users quickly get the reports they need with little friction or re-work
Reports are accurate maintained and aligned with shifting business questions
Smooth knowledge transfer and minimal confusion as platform migration progresses