Amazon FinOps
Finance Accounting, Finance/Planning, finance
BusinessAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst at Amazon FinOps. Skills: Data Analytics, AI/ML, Risk Mitigation, Quality Control. Develop data processing jobs. Leverage AI/ML algorithms”
What You'll Achieve.
Optimize operational efforts; Build accurate dashboards; Identify defect trends; Identify quality improvement opportunities; Develop alternative measurement strategies; Develop controllership risk scoring; Develop health measuring system; Drive continuous improvement
Industry & Context.
Root cause analysis; Investigate data anomalies; Resolve issues; Data interpretation
What They're Looking For.
Must Have
4+ years financial/operational reports, Knowledge of SQL or Python, 4+ years business intelligence/analytics/statistics/data engineering/data science, 2+ years building automations using AWS services, 1+ years building AI based risk automation, Experience with data modeling, Experience with SQL, Experience with ETL, Experience with data warehousing, Experience with data lakes, Specialist-level SQL proficiency, Experience with API integrations, Proficiency with Python, Experience applying AI/ML libraries, Knowledge of Excel, Knowledge of Access, Knowledge of Oracle, Knowledge of Essbase, Knowledge of SQL, Knowledge of VBA, Good experience with engineering best practices, Good experience with operations best practices, Excellent verbal/written communication, Excellent data presentation skills, Ability to summarize key findings, Ability to communicate with business teams, Ability to communicate with technical teams, 2+ years continuous improvement projects, 2+ years RPA development using UiPath, Background in collections, Background in accounts receivable, Background in financial operations quality assurance, Experience with NLP for text analytics, Familiarity with statistical modeling, Familiarity with predictive analytics platforms
Nice to Have
2+ years continuous improvement projects, 2+ years RPA development using UiPath, Background in collections, Background in accounts receivable, Background in financial operations quality assurance, Experience with NLP for text analytics, Familiarity with statistical modeling, Familiarity with predictive analytics platforms, Advanced SQL programming, Advanced Python programming
What You'll Do.
Develop data processing jobs
Leverage AI/ML algorithms
Apply AI-driven text mining
Build forecasting models
Build Risk identification
Build automated mitigation actions
Track operational metrics
Analyze customer behavioral patterns
Identify defect trends
Identify quality improvement opportunities
Investigate data anomalies
Understand root causes
Develop measurement strategies
Present historical data trends
Present operational statistics
Develop controllership risk scoring
Develop health measuring system
Collaborate with stakeholders
Understand business domains
Understand requirements
Understand expectations
Support Global FinOps teams
Work with data source system owners
Map data to business operations
Relate data to business operations
Manage project timelines
Manage project deliverables
Anticipate project risks
Resolve project issues
Advise leaders on milestones
Advise stakeholders on prioritization
Drive continuous improvement initiatives
How You'll Work.
Team & Collaboration
Collaborating with Product; Collaborating with Software Engineers; Collaborating with Data Engineers; Collaborate with stakeholders; Support Global FinOps teams; Work with data source system owners
Communication Scope
Verbal communication; Written communication; Data presentation; Summarize key findings; Communicate effectively
Process & Methodology
Manage timelines, Manage deliverables, Anticipate risks, Resolve issues, Advise on milestones, Advise on prioritization, Continuous improvement projects
Full Job Description
Amazon FinOps is seeking a highly skilled Business Analyst to join the Collections Quality Control and Governance team. As an analytics expert, you will work with some of the world's largest datasets, influence the evolution of our data analytics capabilities, and build AI-driven operational strategies to adapt and succeed in dynamic business environments. You will be a key influencer on the team, providing input on priorities, understanding and anticipating stakeholder needs, and thinking big when recommending solutions. You will navigate ambiguous environments confidently, confirm assumptions, and advise leaders on project milestones and prioritization Key job responsibilities Data Analytics & AI-Powered Risk mitigation automations • Develop moderately to highly complex data processing jobs using SQL, Python, and other technologies • Leverage artificial intelligence and machine learning algorithms for predictive analytics, anomaly detection, and pattern recognition in quality control data • Apply AI-driven text mining and data analytics to identify critical business insights and optimize operational efforts • Build statistically robust forecasting models using AI/ML techniques for operational effort drivers and related metrics • Build Risk identification, monitoring and automated mitigation actions using internal AI tools/MCP. • Develop end-to-end AI solutions — data ingestion → model training → testing → deployment → monitoring • Collaborating with Product, Software Engineers and Data Engineers to integrate AI outputs into automated workflows Quality Control & Governance • Build accurate dashboards to track operational metrics including KPIs, process/channel/team specific goals for collections quality • Analyze customer behavioral patterns and process data to identify defect trends and quality improvement opportunities • Investigate data anomalies, understand root causes, and develop alternative measurement strategies • Present historical data trends and operatio
Applying for this Business Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon FinOps?
Real rants from real employees. Read before you apply.