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Amazon

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

Amazon is hiring a Business Analyst, Network Strategy & Performance, Network Strategy and Performance in Bogotá, Colombia. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this business analyst role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

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

- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL

Preferred qualifications

- Experience working with Tableau
- Experience using very large datasets

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.

How we rate this

Business Analyst, Network Strategy & Performance, Network Strategy and Performance at Amazon rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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