Description

The AWS Sales Insights, Analytics, Data Engineering and Science (SIADS) Startup team is looking for a talented, driven, self-directed Senior Insights Product Manager to join an organization that is responsible for driving adoption of the AWS platform by startups around the world. This is a unique opportunity, in a fast-growing business, to provide insights to our field teams and leaders who are helping customers build lean, innovative new companies today and turn them into the enterprises of tomorrow. Specifically, you will define, build and scale Business Intelligence and Analytics products that allow us to Get, Grow and Keep GenAI startups on AWS. You will work closely with members of Sales, Business Development, Operations and Finance teams to ensure we are sourcing, validating and surfacing internal and external third-party data to make informed business decisions. You will collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses.

You should consider applying if you are passionate about data research & analysis, extracting and manipulating data (using SQL, Python or advanced Excel features), and producing actionable insights and business intelligence through compelling visualizations and story-telling. This job requires strong communication and project management skills to work with key stakeholders and business partners, understand requirements, and deliver analytics products. You should also be able to demonstrate analytical thinking, business acumen, and a knack for working backwards from the customer's needs in a cross-functional environment.

At Amazon, we’re all builders, it’s always Day 1, and it’s imperative to have a keen sense of ownership, drive, and scrappiness to be successful in this role.

Key job responsibilities

• Build insights from 1P data (AWS’ historical business data) and 3P data (sourced from multiple external data providers) to acquire the best GenAI Startups for AWS.

• Own and deliver complex analyses, key reports, and dashboards, including but not limited to tracking of Sales goals, KPIs and metrics and operational performance.

• Derive recommendations from analysis that have impact on multiple teams providing significant business value.

• Own innovation, development and delivery of actionable insights built on reliable, secure data. This includes creating and coordinating user acceptance test plans for dashboards, advising on best practices and actionable insights based on analysis.

• Comfortably and skillfully flex among various tools such as Tableau, QuickSight, and Excel, as needed and appropriate for the analytical ask and timing context.

• Partner with data engineering and BI engineering teams to source internal and external data for reporting, analytics and business insights delivery.

• Work closely with Sales operations staff to optimize business processes and operations.

• Continuously review and optimize operational processes and seek opportunities to reduce transactional workload through deep dive and gap analysis, providing leadership recommendations for system integration and automation projects.

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.

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

Austin, TX, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

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

• 5+ years of experience at a management consulting company, investment bank, or technology company in Sales BI, Finance or related quantitative functions

• Experience in SQL and manipulating large data sets in relational and non-relational databases

• Experience with data analysis tools such as QuickSight, Salesforce and Tableau

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

Preferred Qualifications

• Experience in influencing senior leadership through data driven insights

• Advanced degree (Master's or higher) in Mathematics, Statistics, Computer Science or Information Management Systems

• Advanced proficiency in SQL, ETL, data modeling, and working with “Big Data” and familiarity or experience with Python or R

• Experience or familiarity with the startup ecosystem, including dynamic of startups, accelerators, venture firms and more

• Passion for learning new technologies and analytical methodologies related to business intelligence and data analysis

• Knowledge in one or more functional areas such as Enterprise Planning, Sales Productivity and Sales Readiness, Sales Enablement, Sales Operations experience

• Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $110,700/year in our lowest geographic market up to $206,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.