Senior BI Engineer - Quicksight and Data Modelling

GCS Recruitment; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

GCS Recruitment Specialists is seeking a Senior BI Engineer specialized in Amazon QuickSight to redesign the manufacturing reporting layer and deliver scalable dashboards. You will collaborate with operations, software engineering, and data teams to validate metrics, redesign datasets, and automate operational reporting.

The role emphasizes data modeling, end-to-end reporting ownership, and strong SQL and Python/PySpark skills to optimize dashboards and data quality across Athena/Redshift

Qualifications

• 10 years of experience in BI, Analytics Engineering, or Data Engineering.
• Experience owning the reporting layer end-to-end, from source data through dashboards.
• Strong SQL expertise, including complex joins, window functions, and performance tuning.
• Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).
• Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.
• Python/PySpark experience for data validation, profiling, and transformation.
• Experience working with operational, manufacturing, supply chain, logistics, or production data.

Responsibilities

• Own the reporting layer end-to-end from source data to dashboards.
• Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.
• Analyze and resolve data quality and reporting discrepancies.
• Validate KPIs and business metrics with operations stakeholders.
• Rebuild and optimize the reporting layer from source tables through dashboards.
• Develop and automate WBR/MBR dashboards using Amazon QuickSight.
• Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.
• Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.
• Create self-service datasets, templates, and documentation for business users.
• Support future analytics, data, and automation initiatives.

Skills

BI/Analytics/Data Eng experience

SQL expertise

Amazon QuickSight

AWS (Athena/Redshift/S3/Glue/PySpark)

Python/PySpark

Data modeling

Dashboard development

Manufacturing/production data

Tools

Amazon QuickSight

Athena

Redshift

S3

Glue

Job description

Hiring Alert

Senior BI Engineer

We are looking for a Senior BI Engineer - Quicksight with strong data modeling experience, and owning and rebuilding the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

• Strong data modeling experience, including designing fact and dimension schemas from business requirements and creating intuitive data models for business users.
• Designing the data model. Identify a sensible, simple model (fact and dimension tables) that would yield those dashboards
• Assess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.
• Analyze and resolve data quality and reporting discrepancies.
• Validate KPIs and business metrics with operations stakeholders.
• Rebuild and optimize the reporting layer from source tables through dashboards.
• Develop and automate WBR/MBR dashboards using Amazon QuickSight.
• Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.
• Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.
• Create self-service datasets, templates, and documentation for business users.
• Support future analytics, data, and automation initiatives.

Required Skills

• 10 years of experience in BI, Analytics Engineering, or Data Engineering.
• Experience owning the reporting layer end-to-end, from source data through dashboards.
• Strong SQL expertise, including complex joins, window functions, and performance tuning.
• Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).
• Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.
• Python/PySpark experience for data validation, profiling, and transformation.
• Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

• Manufacturing, MES, ERP, or shop-floor analytics experience.
• Experience supporting Amazon style WBR/MBR reporting and KPI frameworks.
• Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

GCS is acting as an Employment Business in relation to this vacancy.