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. 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.

Would you like join the operations organization for one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support (ES) Strategy, Operations, and Enablement (SOE) is hiring!

The Customer Lifecycle team within Enterprise Support Strategy, Operations, and Enablement (SOE) is looking for a smart, experienced, and self-directed analyst with a strong background working with sales and field organizations to provide insights and capability to enable leaders to answer critical questions, drive performance, and plan for the future.

As a member of this team, you will work across the Customer Lifecycle and leverage strong data, analytics, and modeling skills to enable the building and execution of organizational mechanisms, support leaders answering critical questions about the current performance and potential future, support reoccurring reporting and insights deliverables, and other priority initiatives as defined in the SOE roadmap.

The ideal candidate for this role will have strong business and financial acumen, broad technical skills (ie. SQL, ETL, Excel, and model and big data techniques), strong analytical and critical thinking skills, have sales and marketing expertise, and must be very comfortable diving deep into data. This is a hands-on position - the ideal candidate must be willing to “roll up their sleeves." The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate must communicate effectively across both technical and non-technical teams, have the ability to effectively manage cross functional partnerships, work with stakeholders and peers to define requirements, and drive delivery of projects end to end.

Key job responsibilities

• Enable the building and execution of Customer Lifecyle mechanisms through insights, dashboard-based tooling solutions, and deep dive analysis

• Develop a deep understanding of sales and customer lifecycle metrics, reporting tools, and data structure to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.

• Track and report all key performance indicators, goals, efficiency and trend analyses for weekly/monthly/quarterly business reviews

• Answer critical business questions to aid in planning, inspecting and managing performance, and understanding the future by diving into detailed data, developing deep insights, and leveraging SQL, big data skills, and other analytical techniques.

• Develop key models needed to effective plan and strategize for the business including but not limited to forecasting models, churn risk detection, etc.

• Own the end-to-end requirements, design, and development of scalable data and dashboard solutions

• Become a subject matter expert on building in Amazon Quicksights and leverage your SQL, ETL, and big data skillset to develop key dashboards and reports that are actionable and automated to enable multiple personas.

• Leverage AWS GenAi capabilities to scale and augment insights enablement to improve visibility and productivity across multiple user personas

• Prepare ad hoc analysis & participate on projects as needed

• Analyze data and trends to make informed recommendations to leadership to influence performance and drive change

• Collaborate with multiple internal customers, stakeholder, and partner groups across the customer lifecycle and SOE team, sales, Enterprise Support leadership, product, tec.

About the team

About AWS

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.

About Sales, Marketing and Global Services (SMGS)

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.

Basic Qualifications

• 5+ years of working in an analyst capacity or equivalent

• 5+ years of Microsoft Excel experience

• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field

• Experience working in a sales organization and with sales data, processes, policies, etc.

• Ability to write SQL, build dashboards, and create data/analytical models

Preferred Qualifications

• 5+ years of finance, business management and sales operations experience

• Experience in business-process design or equivalent

• Experience working within a high-growth, technology company

• Experience with sales CRM tools such as Salesforce or similar software

• Experience with big data analytics techniques

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.