Business Analyst, Innovation lab

About the Role

Amazon's operations network is the physical engine at the heart of Amazon. The Innovation Lab at BLR8 pilots and proves new automation solutions before they scale across this network. We are looking for a passionate, results-oriented Business Analyst who thrives in a fast-paced, data-driven environment. The selected candidate will build and maintain the data platform, tools, and reporting that tell us whether each pilot is working. They will also dig into the data to find the root cause of defects and give the team the evidence it needs to decide which solutions scale. The BA will also support hands-on pilot execution on the floor when required.

Key Responsibilities

• Build the data foundation for every trial: write SQL queries and extracts that pull pilot data from operational systems.
• Design and maintain dashboards that show each trial's progress against its success criteria.
• Set up alerts and exception reports that flag when a trial metric moves off target, so the team can act the same day.
• Monitor the health of DWP jobs, dashboards, and data sources, and keep them reliable (target: 100% availability).
• Find and fix the root cause of data issues and trouble tickets (failed jobs, missing or mismatched data).
• Define the data plan for each pilot (metrics, baseline, collection method) before the trial starts.
• Own the lab scorecard and daily pilot report, and prepare the data for weekly business reviews and leadership updates.
• Analyze dashboard and alert trends to find the root cause of defects and underperformance, and propose specific actions.
• Support site-readiness analysis when a solution moves to a new site.
• Run pilots on the floor to the agreed test plan.
• Collect physical data (time studies, downtime and fault logs) and keep the issue log up to date.
• Follow and enforce pilot-area safety controls, including pre-trial checks for automation zones.

Requirements & Tech Stack

• 1+ years of data analytics or automation experience.
• 1+ years of capacity planning, operations planning, business analysis, or similar experience.
• Knowledge of data pipelining and extraction using SQL.
• Knowledge of SQL and Excel at a moderate or advanced level.
• Experience with data mining tools like SQL, SAS, SPSS, or similar.

Qualifications

• Bachelor's degree.

Preferred Qualifications:

• Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions.