Analytics Manager Paid Media Experimentation jobs at Amazon in United States, Newark

Key job responsibilities

- 8+ years of non-internship professional software development experience
- 8+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent

- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

ABOUT THIS ROLE
As a Business Intelligence Engineer within the Content Analytics team at Audible, you'll serve as a data-driven decision enabler for our senior Content leadership team. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions.ABOUT YOU
You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences.As a Business Intelligence Engineer, you will...- Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis
- Communicate findings and insights to stakeholders in a clear, concise, and actionable manner
- Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions
- Serve as a data governance advocate, ensuring consistency in metrics definitions and data qualityABOUT AUDIBLE

- Experience with data visualization using Tableau, Quicksight, or similar tools
- 3+ years equivalent relevant experience in a data driven/analytical role or 2+ years with an advanced/technical degree in Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field
- Experience with data/analytical tools including Excel, Tableau, and querying relational databases, e.g., SQL and Python
- Experience building relationships and runnning projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo)

You’ll collaborate with a cross-functional team of engineers, product managers, UX designers, and QA to design and develop features from concept to launch. You’ll take ownership of systems, components, make design decisions, and contribute to the scalability, reliability, and performance of our systems.You’ll also have opportunities to work with and receive guidance from Principal Engineers and Sr. Principal Engineers, gaining exposure to system-level thinking, engineering best practices, and long-term technical direction.Key job responsibilities
- Design, implement, and maintain features for mobile applications (Android/iOS/React Native) and/or cloud services- Own key components of the system, contributing to architecture, implementation, and long-term maintainability- Write high-quality, well-tested code that meets production standards- Participate in technical design reviews, sprint planning, and project execution- Investigate and resolve complex issues across the device-mobile-cloud stack

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong understanding of computer science fundamentals (data structures, algorithms, OOP)
- Proficiency in at least one programming language such as Java, Kotlin, Swift, or JavaScript/TypeScript
- Experience building and shipping mobile apps or cloud services/applications
- Effective communication and collaboration skills

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience with iOS or Android application development
- Experience with AWS or other cloud platforms
- Familiarity with REST APIs, CI/CD workflows, and scalable system design
- Ability to work in a high-ambiguity, dynamic problem space
- Exposure to cross-platform development, device integration, or consumer hardware
- Demonstrated ability to take ownership and deliver high-quality results in a fast-paced environment
- Demonstrated strengths in engineering excellence and in operational excellence

ABOUT THIS ROLE
As a Business Intelligence Engineer on our Experimentation team, you'll be at the intersection of data and decision-making, helping drive Audible's growth through data-driven experimentation. You'll develop and maintain critical reporting infrastructure that enables teams across Audible to measure the impact of their product and marketing initiatives. Working with our experimentation platform, you'll transform complex test results into clear, actionable insights while ensuring robust measurement methodology and data quality.ABOUT YOU
As a Business Intelligence Engineer, you will...
- Design and maintain experimentation reporting pipelines and dashboards that provide clear insights into test results and program health- Create and maintain documentation of experimentation processes, metrics definitions, and best practices- Build and optimize SQL queries and Tableau dashboards to support experimentation reporting needs- Lead training sessions and provide guidance to stakeholders on experimentation methodology and interpretation of resultsABOUT AUDIBLE

- Bachelor's degree in Statistics, Economics, Computer Science, Engineering or related quantitative field
- 3+ years of experience in analytics, business intelligence, or related technical role
- Proficiency in SQL and experience working with large datasets
- Experience with visualization tools (e.g., Tableau, Power BI)
- Experience in A/B testing or experimental design

- Experience with experimentation platforms
- Knowledge of statistical concepts related to A/B testing
- Strong project management and stakeholder communication skills
- Experience with Python for data analysis

Key job responsibilities- Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
- Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Design and code the right solutions starting with broadly defined problems.
- Work in an agile environment to deliver high-quality software.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with distributed, multi-tiered systems, algorithms, and relational databases
- Experience in optimization mathematics such as linear programming and nonlinear optimization
- Effectively articulate technical challenges and solutions
- Adept at handling ambiguous or undefined problems as well as ability to think abstractly

ABOUT THIS ROLE
In this role you will help instill a data driven decision culture by leading the development of KPIs, dashboards, insights, and visualizations that drive a focus on results, execution, speed, and learning. You will work closely with Audible’s global marketers to help them to make better paid media budget allocation decisions.You will also have exposure across the entire business, including a wide range of functions (e.g., engineering and data science, product management, creative and content development).ABOUT YOU
As a Analytics Manager, you will...- Communicate clearly, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiencesABOUT AUDIBLE

- Bachelor's degree or equivalent practical experience
- 4+ years of relevant professional experience in analytical field (e.g. Analytics, Business Intelligence, Management Consulting, Research), or advanced technical degree in quantitative field with 2+ years of experience, including internship or relevant academic work
- Experience collaborating effectively with teams to successfully plan, execute analytical projects. Skilled in communicating complex results and data-driven insights to diverse audiences, including non-technical stakeholders.
- Experience with SQL, Python or R
- Experience developing BI reports using Tableau (or similar data visualization tool)
- Experience in using GenAI tool

As a Developer, you will:
Help drive the architecture and technology choices that enable a world-class experience for our developersUtilize various metrics sources to deliver rapid iterations of software featuresSolve difficult problems with elegant and practical codeRaise the bar on quality, consistency, maintainability, efficiency, security and all the other things that make great softwareBe responsible for designing, developing and deploying medium to large sized projectsHelp define engineering best practicesBe a champion for the user: Insist on the highest standards, create functional and engaging features, and ensure their needs always come first.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent