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Private Pricing Analytics Lead (PPAL), 3PX Analytics & Insights

Description

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal?

The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals.

The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision.

Key job responsibilities
• Lead sales executive discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
• Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
• Develop a deep understanding of sales metrics, reporting tools, and data structures in order 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.
• Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
• Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
• Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,
• Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.

About the team
About the team
The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations.

The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial deals.

Diverse Experiences
Amazon 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.

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.

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 and 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.

Basic Qualifications

- 5+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in strategy, operations, project/program management and leading process improvements
- Proven ability to manage multiple, competing priorities simultaneously
- Possess an aptitude for continuous innovation and creativity to develop solutions rapidly and iteratively.
- Experience with AWS solutions such as Glue, DynamoDB, S3, Athena, Sagemaker, and Redshift
- Experience in data mining and using databases in a business environment with large-scale, complex datasets
- Experience in the application of GenAI technologies to drive operational efficiencies and speed to 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.

Average salary estimate

$160050 / YEARLY (est.)
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$117300K
$202800K

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What You Should Know About Private Pricing Analytics Lead (PPAL), 3PX Analytics & Insights, Amazon

If you have a passion for leveraging data to drive business decisions, the role of Private Pricing Analytics Lead (PPAL) with 3PX Analytics & Insights at AWS is crafted just for you! Based in New York, New York, this position is all about crafting powerful insights to transform how our Private Pricing business operates. You'll engage with diverse teams across various functions and cultures while uncovering solutions for complex business challenges through cutting-edge analytics and business intelligence solutions. Your main focus will be on analyzing Private Pricing Deals, utilizing your technical skills and business acumen to deliver performance reporting, insights, and strategic recommendations. Picture yourself leading discussions with our sales executives, developing impactful analytics tools, and collaborating with teams to optimize our data processes. You'll thrive in an environment where critical thinking meets creativity while showing us how you can 'tell the story' of the data. With responsibilities that range from creating forecasting models to managing relationships with sales and finance teams, your contributions will directly shape strategic decisions. Plus, at AWS, we value work-life balance and foster an inclusive team culture that encourages innovation and ongoing professional growth. Ready to bring your analytical expertise to a critical role that drives operational excellence? We can't wait to see you bring your unique experience to our dynamic team!

Frequently Asked Questions (FAQs) for Private Pricing Analytics Lead (PPAL), 3PX Analytics & Insights Role at Amazon
What are the primary responsibilities of a Private Pricing Analytics Lead at AWS?

As a Private Pricing Analytics Lead (PPAL) at AWS, your primary responsibilities will include leading discussions with sales executives, developing business analytics and data models, managing large datasets, creating performance metrics, and generating actionable insights to support decision-making regarding Private Pricing Deals.

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What qualifications are needed for the Private Pricing Analytics Lead position at AWS?

A successful Private Pricing Analytics Lead at AWS should possess at least 5 years of professional experience, 5 years of SQL experience, advanced knowledge in scripting for automation (e.g., Python), and familiarity with AWS technologies. Additionally, experience in managing and analyzing results at a senior leadership level is highly preferred.

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How does AWS's Private Pricing Analytics and Insights team contribute to business excellence?

The Private Pricing Analytics and Insights team plays a pivotal role in driving strategic deal decisions, optimizing sales performance, and addressing reporting issues by providing deep analytics and intelligence that informs operational strategies across AWS’s Private Pricing business.

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What kind of data tools and technologies does a Private Pricing Analytics Lead use?

In the Private Pricing Analytics Lead role at AWS, you will utilize various data tools and technologies, including SQL for querying large datasets, AWS services like Glue, DynamoDB, S3, and Redshift for data management and analytics, as well as scripting languages like Python for automation.

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What opportunities for professional growth does AWS offer for a Private Pricing Analytics Lead?

AWS places a strong emphasis on mentorship and career growth. As a Private Pricing Analytics Lead, you'll have access to continuous learning opportunities, resources to develop your professional skills, and the chance to contribute to a culture that values diverse experiences.

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Common Interview Questions for Private Pricing Analytics Lead (PPAL), 3PX Analytics & Insights
What experience do you have with private pricing models?

In answering this question, share specific examples of how you've worked with pricing models in previous roles. Discuss your understanding of how these models impact sales strategies and decision-making processes.

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Can you describe a time when you provided insights that influenced business decisions?

Use the STAR method to structure your answer. Detail a situation where your analysis directly impacted decisions, emphasizing the data you used and the outcome of that decision.

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How do you ensure data integrity when working with large datasets?

Discuss the processes you follow to validate and clean data. Mention any tools or methodologies you've used to maintain data quality, highlighting your attention to detail and commitment to accuracy.

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What programming languages are you proficient in for data analytics?

Mention specific languages like SQL and Python, and provide examples of how you've used them for data extraction, transformation, or automation in your past roles.

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How do you prioritize your workload when managing multiple competing deadlines?

Explain your approach to time management, such as the prioritization of tasks based on urgency and importance, and share tools or techniques you use to stay organized.

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Describe a project where you collaborated with cross-functional teams.

Provide an example where you effectively worked with different departments. Mention your role, how you communicated insights, and the overall impact of the project.

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How familiar are you with AWS solutions, and which have you utilized?

Detail your experience with AWS technologies like Glue, S3, and Redshift. Be specific about how these tools contributed to your previous projects or roles.

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What challenges have you faced in data analytics, and how did you overcome them?

Discuss a specific challenge you've encountered, your thought process in resolving it, and what the resolution taught you about working with data.

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How do you approach forecasting and model building?

Share your methodology for creating forecasts, including data selection, modeling techniques, and how you validate the results for accuracy and reliability.

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What role does storytelling play in data interpretation?

Discuss the importance of translating data findings into actionable business insights, providing an example of how you've 'told the story' of your data in a previous position.

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 28, 2024

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