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Senior BIE Manager III

Amazon

Senior BIE Manager III

Amazon

Austin, TX, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$129,100 - $129,100

Benefits & Perks

Parental leave

Flexible work arrangements

Generous paid time off and holidays

Team events and activities

Parental Leave

Flexible Hours

Required Skills

Python

PostgreSQL

JavaScript

Leads the Product & E-commerce Analytics team in supporting Whole Foods Market's digital presence through data-driven insights and analytics. Oversees the delivery of analytics solutions across the product development lifecycle, from entitlement through implementation and ongoing business operations. Partners with Product and E-commerce teams to drive decision-making through data analysis, reporting, and insights generation.
Key job responsibilities
Key job responsibilities

  • Team Leadership & Development
  • Manages and develops a team of analysts and business intelligence engineers (BIEs)
  • Sets team priorities and ensures alignment with Product & E-commerce objectives
  • Facilitates team member growth and career development
  • Establishes best practices for analytics delivery and documentation
  • Analytics & Insights
  • Oversees development and maintenance of recurring reporting frameworks (e.g., XBRs) for Product and E-commerce performance
  • Leads analysis of key performance indicators (KPIs) across digital products, under the roof tech, and e-commerce platforms
  • Directs the design and implementation of analytics solutions for new product initiatives
  • Ensures quality and consistency of analytical outputs across team deliverables
  • Product Development Support
  • Partners with product teams throughout the development lifecycle to define success metrics and measurement approaches
  • Guides analytics strategy during product entitlement phases
  • Oversees implementation of measurement frameworks for new products and features
  • Maintains analytics documentation and knowledge base for product initiatives
  • Business Partnership
  • Serves as primary analytics partner to E-commerce leadership
  • Translates complex analytical findings into actionable business recommendations
  • Builds and maintains relationships with cross-functional stakeholders
  • Identifies opportunities for data-driven optimization of digital products, programs, and customer experience
  • Success Metrics
  • Team effectiveness in supporting product development and e-commerce initiatives
  • Quality and timeliness of analytics deliverables
  • Stakeholder satisfaction with analytics support
  • Development and retention of team talent
  • Implementation of scalable analytics solutions
  • Impact of insights on business decisions and outcomes
    This role reports to the Executive Leader, E-commerce Business and works closely with Product Management, E-commerce, Operations, Marketing Analytics, and Technology teams to drive data-informed decision-making across the digital business.

Basic Qualifications

  • Experience in business intelligence and analytics
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • 6+ years of business intelligence and analytics experience
  • 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • 2+ years of direct management experience
  • Experience with R, Python, or other statistical software

Preferred Qualifications

  • Master's degree in Business, Economics, Statistics, Engineering, or a related field
  • Knowledge of Six Sigma tools and Lean techniques
  • Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
    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.
    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,100/year in our lowest geographic market up to $223,100/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.

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About 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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge