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职位Amazon

Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon

Sr. Business Intelligence Engineer, AWS GDSP A&I

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

必备技能

AWS

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 that enable strategic decision-making and accelerate Private Pricing growth

  • Design and maintain continuously-evolving business analytics frameworks and data models; own quantitative analysis of sales team performance, customer behavior, deal dynamics, partner ecosystems, market trends, and product effectiveness

  • Develop deep expertise in sales metrics, reporting tools, and data architectures to proactively identify and resolve data quality issues, deliver actionable intelligence, and design new metrics, dashboards, and analytical tools

  • Build collaborative relationships with sales, finance, sales operations, and cross-functional teams to identify reporting gaps and implement solutions

  • Design and deploy automated analytical tools and reports that streamline business reviews, annual planning, and forecasting processes

  • Create operational templates and standardized processes that consolidate disparate data sources into unified reporting frameworks and consistent metrics tracking

  • Execute complex ad-hoc analyses by extracting and synthesizing data from multiple management systems, delivering timely recommendations with measurable business impact

  • Architect new mechanisms and business processes that simplify operations, standardize workflows, and drive operational excellence across the organization

Basic Qualifications

  • 10+ 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 theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Boston - 130,400.00 - 176,300.00 USD annually
USA, NY, New York - 143,400.00 - 194,000.00 USD annually
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge