Amazon is seeking an experienced Anaplan Business Intelligence Engineer II (BIE II) for a role in the Global Finance Solutions (GFS) organization to support Anaplan model building for workforce capacity planning for our GREF Finance stakeholders. This role has high visibility within the organization and will require the candidate to partner with the GREF Finance stakeholders which are present across the globe. The candidate should have a good understanding of AP/AR processes and should be able to develop forecast models to support headcount needs to deliver world class service performance.

The ideal candidate must demonstrate strategic thinking, strong ownership, and excellence in cross-functional collaboration, while maintaining superior attention to detail and effectively managing multiple priorities. Technical expertise required includes proficiency in Anaplan model designing, SQL, API’s and experience with reporting tools such as Cognos, Amazon Quick Sight, Tableau etc. Additionally, the candidate should possess working knowledge of databases and data structures, in order to collaborate with DE/BIE teams. This position offers significant growth potential within our dynamic, global organization and represents an opportunity to make meaningful impact at scale. This position requires a proactive, highly motivated individual who can start from scratch, build models to solve business problems and have the skill and backbone to convey the right message to management, to assist in the strategic allocation of resources around the globe.

• Key job responsibilities
• Develop and improve forecasting models using data collection, data analysis and statistical tools
• Create optimal capacity plan for Finance Operations business by managing trade-offs between Customer Experience and Cost Effectiveness.
• Coordinate with Operations and Finance teams to analyze historical data and demand forecasts and build out headcount planning models for future growth.
• Mitigate capacity risks by managing dependencies across multiple operational teams and sites
• Capacity planning for new business/sites
• Clearly communicate dependencies and manage/track exceptions with Senior Management.
• SQL and dashboard development (Quick Suite/ Tableau) is essential skill for success in this role.
• Knowledge of scripting language e.g. python is preferred.
• Manage the daily, weekly, and monthly reporting of capacity performance in each site via Key Performance Indicators.
• Support local site management and workflow teams to optimize staffing requirements.
• Project management skills are required for success in this role.

A day in the life

• Work on critical projects that serve major parts of the business.
• Serve as Team lead for medium and large scale projects.
• Actively participate in strategic initiatives and special projects when assigned or required.
• Lead cross functional systems and process improvement initiatives
• Execute vision and goals for the team or the department.
• Build relationships: Make and keep commitments, seek opportunities to partner with customers, be optimistic, and anticipate needs.

Basic Qualifications

• 5+ years of relevant IBM Cognos TM1/Planning Analytics work including system configuration, model building and developing reports or dashboards with TM1 experience
• Bachelor's degree in Computer Science, Software Engineering, MIS, or a related field
• Experience in IBM Cognos TM1/Planning Analytics work including system configuration, model building and developing reports or dashboards with TM1
• Experience building complex software systems that have been successfully delivered to customers
• Experience in corporate finance including budgeting/planning, forecasting and reporting
• Experience working with technical and business stakeholders from global cross-functional teams

Preferred Qualifications

• Knowledge of the capabilities and constraints of the SFDC CRM application coupled with a good understanding of HR business processes
• Experience implementing at least two full life cycle SFDC implementations successfully
• Experience in a test-driven and formal QA development environment, including development, staging, production (or equivalent) deployment cycles
• Experience working in an Agile or Scrum environment

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