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Amazon Business Analytics Lead, AWS Energy in Austin, Texas

Description

For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure. Within AWS, the Energy & Utilities Industry Business Unit (IBU) is responsible for supporting the multi-national enterprise organizations from the Energy & Utilities sector in their journey to the cloud. The Energy & Utilities IBU is a diverse organization comprised of Global Account Managers, Solution Architects, Customer Success and Partner Sales Managers, Go-to-Market Specialists, Industry Products and Solutions and Business Operations professionals situated across the globe. We are a team of builders that is set out every day to innovate on behalf of AWS’s largest customers and disrupt the status quo. We don’t sit back and watch the world change; we’re the ones changing it. The Energy & Utilities IBU is looking for curious and inventive builders who want to join the team and help shape its future.

We are seeking for an experienced Business Analysis/Intelligence expert, preferably with Sales Strategy and Operations, or Finance roots to help us grow the analytical infrastructure our leaders need to grow a sustainable, scalable, agile business. Ideal candidates are passionate about using data to tell a clear story, highlighting insights we have not been previously seen, and doing it faster than before. In this role, you will be a trusted advisor providing analytical thought leadership to our sales operations and business leadership teams. You will develop the unique insights that will fuel dynamic decision making, set high standards, and utilize cutting-edge technology to enable productivity. The role is highly visible and critical to the health and growth of the business unit.

The ideal candidate earns trust through outstanding performance, has strong strategic planning and financial acumen, and has creative ideas for insightful data visualizations. The ideal candidate has the broad technical skills, strong data management skills, and the deep analytics background needed to work across different business unit teams leveraging and sharing best practices. This position is responsible for identifying technical requirements for business metrics and dashboards, partnering with data engineers to execute on those requirements, translating them into compelling visualizations, and providing useful and meaningful analysis for leadership.

The successful candidate must be willing to roll up their sleeves, dive deep to learn, be comfortable working with ambiguity, and have a passion for driving operational excellence.

* Preferred location for this role is Austin, TX. Alternative AWS hub locations might be considered for the right candidate.

Key job responsibilities

• Prepare, analyze, and interpret business results, variance reports, and KPIs to support business decisions and track financial performance

• Present business performance summary and key insights to senior management – surfacing the business performance “the story”, that is supported by the underlying data

• Collaborate building and evaluating forecasts, providing insights into variances and expected future performance

• Conduct complex data analysis and build financial models as needed in order to evaluate business scenarios, support project feasibility, and assist in strategic planning

• Identify areas for improvement in current processes and business operations, propose solutions, and implement efficiencies to support growth

About the team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.

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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Basic Qualifications

•Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or related field

•2+ years of experience at management/ analytics consulting company, banking, or technology company in Sales BI, Business Analytics, Finance or related quantitative functions

•Advanced proficiency in Excel (including VBA, Pivot Tables, array functions, Power Pivots, etc.)

•Experience with data visualization tools such as QuickSight, Salesforce, PowerBi and Tableau, and ability to contribute to ad hoc and deep-dive analysis driving toward team priorities

Preferred Qualifications

•Master’s degree in Business Analytics, Decision Sciences, Business Administration

•Experience in Sales Strategy & Operations in mid-to-large scale global sales organization

•Excellent organizational and project management skills, with the ability to manage multiple projects with engaged priorities

•Comfort working in a fast-paced, matrixed organization, with multiple stakeholders across time zones

•Experience in data science, machine learning, and Gen AI concepts and methods using Python/R

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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