Amazon is seeking an experienced candidate for a role in Global Finance Support (GFS) organization to lead Anaplan Model building BIE team supporting workforce capacity planning for our Worldwide Finance Operations stakeholders.
This is a key senior level position, with a very high visibility within the organization and will require the candidate to partner with Amazon Finance Operations team, which is spread across 8+ geos with over ~4000 headcount (HC) supporting close to 180 different services. 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 leadership capabilities, 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 QuickSight, Tableau etc. Additionally, 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 right message to management, who can 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.
- 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
- Execute vision and goals for the team or the department.
- Guide recruitment, retention, staff training and performance reviews.
- Build relationships: Make and keep commitments, seek opportunities to partner with customers, be optimistic, and anticipate needs.
- Ensure the department is well planned: Define opportunities, communicate vision and goals in a way everyone understands, know what most important and set priorities is, ask for commitment, follow up on progress being made, promote accountability.
- Protect our brand: Know and live the values, ensure team members are living the values
- 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
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- 7+ years of business intelligence and analytics experience
- Experience with ETL
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- Experience with data visualization using Tableau, Quicksight, or similar tools
- L3 certification or Solution architect certification on Anaplan model building.- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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