Job Description

• 1+ years of experience in financial/business analysis
• Experience with SQL or ETL
• Experience defining requirements and using data and metrics to draw business insights

• Bachelor’s degree in a relevant field or equivalent experiences
• 3+ year experience in Capacity Planning Operations planning, business analysis or similar
• Expert in MS-Excel, macros, etc..,
• Should possess strong knowledge of Capacity Planning concepts and its implications
• Should possess strong analytical and quantitative skills
• Excellent planning, time and project management skills with the ability to deal with multiple demands on time and deal with ambiguity
• Innovative and creative in finding solutions/designing improved methods, systems and processes
• High attention to detail and ability to dive deep, identify root causes of variances; further execute solutions once identified
• Excellent planning and time management skills with the ability to deal with multiple demands on time and deal with ambiguity
• Ability to provide sound advice to stakeholders, should have interest and ability to work on cross-departmental process-improvement initiatives and projects
• Excel in his/her verbal and written communication skills
• Solve for both service level problems and the challenges of minute-to-minute change will be necessary
• Roles require to be working in Night shifts and Rotational Week off

Job summary How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive, innovative technology, reinventing an industry? The Team: We are an internal facing team that is at the core of Amazon's Just Walk Out Technology that powers Amazon Go. Go introduces a new retail shopping paradigm with no lines and no checkout. You simply use the Amazon Go app to enter the store, take what you want from our selection of fresh, delicious meals and grocery essentials, and go. We are looking for an exceptional Workforce Capacity Planning (CP) Analyst who is passionate about customer experience, thinks and acts globally, a strong communicator and networker to build successful working relationships across worldwide Amazon Go network and has the edge to drive industry standard innovations. The ideal candidate will need to possess a strong schedule optimization background that enables him/her to manage quantitative planning to achieve productivity goals for the site, possess analytical background that enables him/her to manage global network planning, experience a wide range of problem solving situations which are strategic to real-time to identify opportunities for improvement and is able to extensively use data collection for further analysis. The Workforce CP Analyst is responsible to share guidance on real-time staffing adjustments, work with sites on special events planning, build processes to manage contingency, real-time business domain blending to help business meet its service levels; he/she aids as a resource, advisor and is a close working partner with Operations and other functional, support teams. The successful candidate will also need to be an analytical problem solver who is comfortable in a fast-paced, multi-tasked, high-energy environment. Primary job responsibilities: · Generate forecast, plan capacity for multiple network sites, successfully manage short term staffing of the sites (4 to 6 weeks), work closely long-term planning, program, Ops and multiple stakeholders and come up with right input and exception mechanisms on factors affecting forecast · Create and accurately maintain CXQO associate shift schedules ensuring that shifts are optimally planned to meet the short term forecast requirements and SLs (Service Levels) · Build short/long term operational plans for multiple network sites to optimize variable costs associated with staffing · Creates intra-day, daily, weekly plan for business to meet the forecasted numbers and required productivity · Improve worldwide Amazon Go sites redundancy thereby reduce capacity risks of a certain site and manage dependencies across multiple sites. Also, clearly communicate on risks, dependencies to manage, track exceptions · Setup feedback mechanism to share overall capacity planning processes improvements and drive better planning accuracy for future · Performs dive deep on daily, weekly, and monthly site performance to provide feedback to Operations and other program management stakeholders to help sites meet its efficiency goals · Monitor actual staffing levels against plan and take corrective actions to flex-up or flex down as required like OT (Over Time) calls, cross skill support, shrinkage, shift changes to improve service levels · Effectively plan and monitor associate adherence to the assigned schedules · Effectively plan non-productive activities · Maintain CXQO associate matrix for each Amazon Go sites basis it’s hours of operation, seating and transportation plan · Participate in global initiatives to cater to growing business needs · Connect and network with stake-holders, including but not limited to operations, program management, training, GREF teams · Work in partnership with global headcount planning teams to build strong relationships, drive consistency, and automation of the processes · Supports Capacity Planning leadership by maintaining accurate records of planned and required headcount in each of business groups/marketplace on a weekly basis · Responsible for automating and maintaining reports to be used in reporting on service level misses. Also, automates tool that will enable completion of root cause analysis and production of corrective action plans for SL misses · Develop self-service solutions for Capacity Planning team’s primary stakeholders to reduce administrative overhead and increase time for value-add activities thereby, make the whole team more flexible and fit for future challenges Plays an active role in mentoring Capacity Planning talent
· Master’s degree in Operations, Business, Analytics or a related field · Experience with OBIEE, Business Objects, Cognos, Tableau · Experience with R, SAS, SPSS, or Python along with solid understanding of SQL etc.., with experience in data modeling and/or statistical forecasting