Program Manager - Analytics Job in Amazon

DESCRIPTION

CMT Benchmarking, Retail Systems
Job Description Program Manager (Analytics)

Background:

Amazon.com operates in a virtual, global e-commerce environment without boundaries, and operates a diverse set of businesses worldwide, including Retail, third party marketplaces, e-commerce platforms, web services for developers.
The Retail Systems function is responsible for building retail platforms, tools and automation required to manage selection, optimize pricing, forecast demand, buy products and deal with vendors. Pricing Analytics and Operations is an integral part of Retail Systems enabling Amazons pricing strategy and operations. The teams primary role is to provide on-time and accurate inputs to help make great pricing decisions. The tasks handled by this group have a direct impact on customer buying decisions and Amazons topline & profitability.
Opportunity:

Do you want to be part of the team that ensures Amazon keeps its best price promise across millions of products worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems using technology? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answer to the above questions is a resounding YES, read on!
Job Description:
In the Program Manager role, you will be responsible to build quantitative and qualitative analytics solutions supporting benchmarking programs. The role requires you to work closely with senior leadership, helping them make data-driven decisions, spot pricing errors, size up problems through various analysis, convert problem statements into process improvement activities & achieve closure. The job involves analysis of signals from various business process and voice of customers to identify opportunities and drive process/system improvements. You will be responsible to track, analyze, create reporting dashboards using big data and maintain the quality metrics of assigned processes & teams. The individual will interact with the business, automation & technology teams to help drive operation, deploy tools & techniques and system improvements.
The successful candidate should have the ability to work at all levels with an eye for detail to achieve quality & process goals, actively seeks to understand Amazons core values and translates those into everyday practices.
Roles and Responsibilities:
Influencing business decision making by providing quantitative/qualitative data analysis, which bring out insights and trends pertaining to business performance.
Driving business impact through analytics driven projects. Ability to lead and collaborate with cross-functional team to come up with actionable, high-impact insights across product lines and functions.
Communicating findings to stakeholders and providing recommendations to business for improving business performance. Ensure that data and analysis is presented in a format that is appropriate for a varied audience using data visualization, dashboards, or other methods.
Utilize strong database skills to work with large, complex data sets to extract insights.
Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes.
Drive process/system improvements basis ongoing trends/gaps identified
Execute on assigned project components & drive low-medium impact projects him/her.
Flexible to support critical business requirements and willingness to work outside of the "standard" work day.
Carries out tactical issue based communications with internal
Creates ad-hoc operational reports, status updates & proposals on a need basis

BASIC QUALIFICATIONS

Required Skills, Experience and Preferred qualifications:
Education and experience: Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with relevant work experience of over 6 years.
A passion for helping organizations understand how to solve problems through analytics.
Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment.
Prior project experience in one or more of the following areas are preferred, but not absolutely required.
Sound statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, Experimental Design, etc.
Familiarity with database technologies and tools (SQL/R/SAS/JMP etc.), data transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
Experience with a visualization tool such as Tableau, Spotfire, Power BI, Sisense, etc.
Experience with text analytics, data mining and social media analytics.
Sound knowledge on problem solving tools methodologies like Kaizen/DMAIC/Lean
Has been a part of transformation initiatives to automate solutions
Has problem solving skills and attention to details
Proficient in MS Excel and other MS office tools
Possesses excellent written and oral communication skills
Has the ability to deliver results by influencing team members
Ability to work independently and think out of the box
Should be able to dive deep and identify the root cause of the issues and get them fixed by coordinating with different teams like operations and IT

PREFERRED QUALIFICATIONS

Required Skills, Experience and Preferred qualifications:
Education and experience: Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with relevant work experience of over 6 years.
A passion for helping organizations understand how to solve problems through analytics.
Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment.
Prior project experience in one or more of the following areas are preferred, but not absolutely required.
Sound statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, Experimental Design, etc.
Familiarity with database technologies and tools (SQL/R/SAS/JMP etc.), data transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
Experience with a visualization tool such as Tableau, Spotfire, Power BI, Sisense, etc.
Experience with text analytics, data mining and social media analytics.
Sound knowledge on problem solving tools methodologies like Kaizen/DMAIC/Lean
Has been a part of transformation initiatives to automate solutions
Has problem solving skills and attention to details
Proficient in MS Excel and other MS office tools
Possesses excellent written and oral communication skills
Has the ability to deliver results by influencing team members
Ability to work independently and think out of the box
Should be able to dive deep and identify the root cause of the issues and get them fixed by coordinating with different teams like operations and IT