DESCRIPTION

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Amazon’s technology business has a history and tradition of leading the world in web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses with their computing and applications in the Cloud. As a member of AWS Support, you will be at the forefront of Cloud technologies and part of the world’s premier cloud services company while enjoying the culture of a start-up. You will be surrounded by people who are smart, passionate about cloud services, and believe that world class support is critical to customer success.

Key job responsibilities
-Carrying out Quantitative Data Analysis and acting as the subject matter expert on Operational and business improvement opportunities; validating data to ensure accuracy in the output; identifying key data for projects across a variety of data stores and efficiently extracting and processing it; generating descriptive statistics and extracting insights.
– Expertise in carrying out statistical tests, logistic Regression modelling & python
-Design and execute advanced analytical projects in collaboration with Operations, Program Managers, Business Intelligence & Finance teams. Participate in strategic and tactical planning discussions.
-Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
-Analyze and validate data to ensure high data quality and reliable insights. Partner with Business Intelligence & Data engineering teams to improve data assets, quality, metrics and insights.
-Proactively identify opportunity areas for deep dive investigations and future program development. Define the business problem and solution approach autonomously with limited guidance
-Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
-Exposure to analytical modelling and developing quantitative analytical solutions

A day in the life
As an experienced Advanced Analytical Engineer, you will play a key role as an internal consultant developing analyses related to the AWS Support businesses. You will need to interface with a diverse set of stakeholders and will work closely with Data scientists, Business Intelligence teams, Program managers, Business teams, Data engineering, Financial analysts, Operations Managers, Data Scientists and Product teams to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. To be successful, you should demonstrate the ability to balance analytical and technical skills while clearly driving communication and collaboration with key partners. You will also work closely with internal leadership teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a member of the team, you will also have the opportunity to leverage your passion for data science to create high impact solutions.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home,
there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-
rounded professional.

BASIC QUALIFICATIONS

– 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with data modeling, warehousing and building ETL pipelines
– Experience in Statistical Analysis packages such as R, SAS and Matlab
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

– Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
– Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets