Bi Engineer II - QuickSight Analyst

GCS Recruitment Specialists; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

GCS Recruitment Specialists is seeking a Senior BI Engineer to own the manufacturing reporting layer and build scalable Amazon QuickSight dashboards. You will validate metrics with operations, redesign datasets, and collaborate with data and software engineers to deliver trusted, automated reporting across the business.

You will work with Athena, Redshift, S3, Glue, and PySpark to reconcile data sources, implement calendar, utilization, throughput, and cycle-time metrics, and create self-serve

Qualifications

• 5+ years of experience in BI, analytics engineering, or data engineering.
• Ownership of the end-to-end reporting layer from source to dashboards.
• Strong SQL with complex joins, window functions, and performance tuning.
• Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security).
• Experience with AWS data platforms (Athena, Redshift, S3, Glue) and PySpark.

Responsibilities

• Assess existing reporting workflows and data sources across manufacturing.
• Validate KPIs and metrics with operations stakeholders.
• Rebuild and optimize the reporting layer from source tables through dashboards.
• Develop and automate WBR/MBR dashboards using Amazon QuickSight.
• Collaborate with data engineering and software teams on data validation and automation.

Skills

SQL

Amazon QuickSight

PySpark

Python

AWS data stack

Tools

Athena

Redshift

S3

Glue

Job description

Hiring Alert!

Job Title: Senior BI Engineer/ QuickSight Analyst

Job Description

We are looking for a Senior BI Engineer to own and rebuild 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

• 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

• 5+ 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.