ACES Analyst, ADAT

We are looking for a Business Analyst to join the ACES Data Analytics Team (ADAT) supporting operational excellence through data-driven dashboarding this role you will be responsible for designing developing and maintaining dashboards and underlying data pipelines that provide actionable insights to operations teams. You will work closely with stakeholders across the support function to translate business needs into analytics solutions that drive decision-making and continuous improvement.

Key job responsibilities
i) Design build and maintain dashboards and reporting solutions that support operational performance tracking and decision-making
ii) Write and optimize SQL queries to extract transform and analyze data from multiple sources
iii) Develop Python scripts for data manipulation automation and advanced analytics
iv) Partner with operations stakeholders to understand business requirements and translate them into clear technical specifications
v) Perform root cause analysis on operational metrics identifying trends anomalies and opportunities for improvement
vi) Ensure data accuracy and integrity across all reporting and dashboarding deliverables
vii) Proactively communicate progress blockers and risks to stakeholders and leadership
viii) Support KTLO (Keep The Lights On) activities for existing dashboards including troubleshooting bug fixes and enhancements

A day in the life
In particular Business Analysts will support the team with different types of analyses (from estimating the savings of a new project to calculating the drivers behind the Teams performance) and work with various stakeholders in Amazons Operations. We are looking for profiles with analytics and communication skills business sense and an excellent knowledge of Excel and the Microsoft Office package.
As a Business Analyst on our team you own the full cycle from raw data to actionable insight. You write SQL queries to pull operational data from multiple sources validate it and transform it into something meaningful. When something looks off in the numbers you investigate tracing it back through the pipeline until you find the root cause and flag it to stakeholders before it becomes a problem.

You build and maintain dashboards in QuickSuite that operations teams rely on daily. That means designing layouts connecting calculated fields setting up filters and making sure the right people see the right data at the right level of detail. You iterate on these based on feedback always looking for ways to make the information clearer and more useful.

You also write Python scripts that automate repetitive work data validations scheduled extractions report generation things that used to take hours manually and now run in minutes. When a quick ad-hoc analysis comes in from a manager you use Excel to pivot the data and deliver a clean summary without overengineering it.

Throughout all of this you share what you find. You communicate insights clearly to stakeholders walk them through what the data is telling us and help them make decisions based on evidence rather than assumptions.

About the team
Our team sits within the ACES organization and provides analytics and dashboarding solutions that support operational functions. We are a medium size high-impact team focused on delivering clean scalable and well-documented analytics that enable data-driven decision-making across operations. We value seamless development practices proactive communication and a strong sense of ownership.

- Bachelors degree in Business Administration Finance Economics Computer Science Engineering or related field
- Experience in a business analyst data analyst or equivalent role
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Knowledge of data visualization tools such as Quick Sight Tableau Power BI or other BI packages
- iii) Proficiency in SQL for data extraction and analysis across large datasets
- vi) Proficiency in Excel for ad-hoc analysis and reporting
- vii) Strong communication skills with the ability to present insights to technical and non-technical audiences

- Experience in a logistics/operations environment
- Experience with Lean or Six Sigma analytical techniques
- Knowledge of SQL/ETL
- Experience working in a fast-paced and ambiguous environment
- Experience in process design and documentation
- Familiarity with Amazons data ecosystem (Redshift Andes S3)

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