Data Analytics Engineer, BizOps

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.
AWS Support provides global technical and account support to a wide range of external customers who are building mission-critical applications on top of AWS services such as Amazon S3 and Amazon EC2. The team is a self-standing P&L with our ability to drive both Amazon Free Cash Flow and deliver a world class customer experience. We have a team of talented employees located in several locations around the world and are growing rapidly.
AWS Support Strategy Data Science & Analytics(SAnDS) team is an internal consulting team leveraging data based analyses to recommend pathways to achieve Operational efficiencies, Customer experience improvements and solve optimization challenges. To sum it - We solve really complex problems for our internal customers.
We are seeking an experienced Data Analytics Engineer to drive deep insights and continuous improvement using large troves of data. The Candidate should have detailed understanding of a business requirements or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems, identify opportunities and communicate the findings to internal stakeholders. An ideal candidate is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating their work. We are looking for a creative thinker with deep analytics experience who knows how to execute and deliver from concept. Ability and enthusiasm to be a change agent on a team operating in a highly ambiguous environment is required.

Key job responsibilities
-Carrying out 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.
-Design and execute 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
-Write concise documents communicating results to stakeholders and visualize data to drive decision making

A day in the life
As an experienced Data Analytics 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 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
AWS 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.

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 & 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.

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.

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

BASIC QUALIFICATIONS

- Bachelor's degree in Computer Science, Engineering, Operations Research, Mathematics or Finance
- 5+ years’ experience in leading data analytics projects and bring in actionable insights; 5+ years proven professional experience working with large data sets and writing complex SQL queries to pull data.
- Experience in Excel (Pivot Tables, array functions, Power Pivots, etc.) ; Expertise working with Tableau/QuickSight or other visualization platforms
- Proficient in Python & exposure to AI/ML models
- Exposure to Data Governance & Data Management Systems

PREFERRED QUALIFICATIONS

- Advanced technical or business degree (MS, Masters in Information Science or MBA)
- Effective verbal and written communications skills, as well as the ability to work effectively with multiple teams and external organizations
- Experience in JavaScript and/or R
- Experience making business recommendations and influencing stakeholders
- Experience defining requirements and using data and metrics to draw business insights

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