Business Analyst, Network Strategy & Performance, Network Strategy and Performance

Amazon Inc.; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Amazon in Manila seeks a Business Analyst to shape staffing and analytics for the Network Strategy & Performance team. You will drive data-driven decisions, partner with Operations, planning, training, and finance, and apply AI tools to speed and improve outputs.

Responsibilities include building dashboards, monitoring SLs, and coordinating cross-functional staffing needs in a fast-paced environment.

Qualifications

• Bachelor's degree in Engineering, Economics, Mathematics, Statistics, Business, or related field.
• 2+ years in business/data analysis in supply chain or related analytical role.
• Experience applying AI tools or automation to improve productivity.
• Proficiency in Excel (including VBA, pivots, arrays) and data visualization tools.
• Experience in financial/business analysis to derive insights.
• Strong communication and ability to operate in dynamic environments.

Responsibilities

• Create and maintain staffing plans and CSA shift schedules.
• Monitor staffing levels against forecasts and improve service levels.
• Plan CSA adherence, including productive vs non-productive activities.
• Collaborate with senior leaders to mitigate risks and plan staffing corrections.
• Coordinate site-staffing needs and report headcount per staffing plan.
• Identify systemic defects and communicate metrics impacting operations.
• Build dashboards and alerts to detect defects early.
• Apply AI tools to accelerate analysis and automate repetitive tasks.

Skills

AI tooling experience

Excel + VBA

Data visualization (Tableau/Power BI)

Financial analysis

Cross-functional communication

Adaptability

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Tableau

Power BI

Excel VBA

Python/R (basic)

Job description

Business Analyst, Network Strategy & Performance, Network Strategy and Performance

Business Analyst in Network Strategy and Performance owns processes & analytics that directly shape how Amazon serves customers globally. They are an analytical problem solver who is comfortable in a fast-paced, multi-tasked, high-energy environment. They are self-motivated, operating independently in an autonomous environment to deliver an exceptional customer experience with little to no guidance. They operationalize the long- and short-term staffing plans, working cross-functionally with site Operations, planning teams, training, finance, and others. They will contribute to the team's AI-driven transformation agenda by applying AI tools to increase the speed, quality, and scale of analytical outputs. They do not just report or fix defects, but think critically about why they happen, what surrounds them, and how to prevent them — combining analytical rigor with a proactive, anticipatory mindset.

Key job responsibilities

• Create and accurately maintain CSA shift schedules ensuring shifts are optimally planned to meet the sites short term forecast requirements and Service Levels (SL).
• Monitor actual staffing levels against planned staffing and take the relevant corrective actions as required improve SL.
• Effectively plan and monitor CSA adherence to assigned schedule, including productive and non-productive activities.
• Work closely with mid to senior-level leaders across core teams to identify and mitigate emerging risks and assists in creating mitigation plans for staffing corrections and SL recovery.
• Responsible for coordinating site-staffing needs including reporting and analysis of site headcount numbers as per staffing plan.
• Understanding and monitor symptoms of CSA burnout, detecting the metrics that can signal these symptoms and assist in implementing interventions to eliminate outlier experiences.
• Responsible to coordinate various cross-training, new-hires, and management of network and site-wide shift rotation processes as per business need.
• Create work schedules for associates, identifies and proactively resolves headcount deficiencies and overages.
• Investigate defects and operational anomalies to identify systemic drivers (system-related, behavioral, or shared responsibility), not just symptoms. Highlight and communicate metrics impacting the operation that could impact service levels, customer experience, and business process.
• Build and maintain validation checks, dashboards, and automated alerts to catch defects early — before they impact customers or operations.
• Independently apply AI tools (e.g., Amazon Q, generative AI assistants, AgentZ) to accelerate analytical workflows, identifying opportunities to improve speed and quality of outputs.
• Apply AI tools to develop automation for repetitive tasks within your workstream, demonstrating measurable productivity improvement.

About the team

The Network Strategy and Performance (NP) team defines and delivers the right human-assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. We are responsible for: (1) planning customer support staffing; (2) preserving the customer experience when customers contact Customer Service; and (3) ensuring best costs for providing customer support.

We analyse historical data and anticipate potential business events to accurately predict the number of Customer Service Associates (CSAs) required for a given period. Our areas of expertise span forecasting, planning, optimization, data analytics, and reporting. We deliver our vision using operations research, data science, and program management — and we continue to challenge the status quo, invent and simplify, and deliver excellence for our customers.

The Network Performance team is on a transformation journey. We are building a future-ready team that combines analytical rigor with AI fluency, executive-level communication, and the ability to drive outcomes across organizational boundaries. We are seeking a Business Analyst to join this team and help shape how Amazon plans, staff, and optimizes its Customer Service network.

Basic Qualifications

• Bachelor's degree or equivalent in a quantitative field (Engineering, Economics, Mathematics, Statistics, Business, or related).
• 2+ years of experience in business analysis, data analysis in supply chain domain or related analytical role.
• Demonstrated experience building and applying AI tools or automation to improve individual and group productivity — including crafting effective prompts and critically evaluating AI-generated outputs in a professional setting.
• Proficient in Excel (including VBA, pivot tables, array functions, power pivots) and data visualization tools such as Tableau, Quick Sight, or Power BI.
• Experience in financial/business analysis — defining requirements and using data and metrics to draw business insights.
• Ability to work effectively in a dynamic and ambiguous environment, combining analytical rigor with sound judgment.
• Strong written and verbal communication skills; ability to present analysis clearly and concisely to senior stakeholders.

Preferred Qualifications

• Master's degree or equivalent in a quantitative field (Engineering, Economics, Mathematics, Statistics, Business, or related).
• Demonstrated experience building automation solutions using Python, R, or similar tools.
• Experience identifying opportunities to integrate AI solutions into workflows to drive efficiency and developing side-of-desk automation for repetitive tasks.
• Understanding of network planning, workforce management, or contact center operations.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.