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. The individual must have the ability to communicate effectively across multiple technical and non-technical personas, as well as across other geographies.
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
- Own and deliver complex analyses, key reports, and dashboards and recommendations including but not limited to tracking of sales goals, KPIs and forecasts and operational performance.
- 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 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.
- The ability to integrate data from multiple disparate backend data sources.
- 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.
Basic Qualifications
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ 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
Preferred Qualifications
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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
- Experience with data analysis tools such as QuickSight, Salesforce and Tableau
- Advanced proficiency in Excel (including VBA, Pivot Tables, array functions, Power Pivots, etc.)
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.
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