Business Analyst , Customer Experience and Business Trends (CXBT) Capability Team

Amazon
London
1 week ago
Applications closed

Related Jobs

View all jobs

Analytics Manager

Data Analyst

Business Intelligence Analyst

Customer Insights Analyst - Propositions

Senior Credit Risk Data Analyst

Optimisation Specialist

Business Analyst, Customer Experience and Business Trends (CXBT) Capability Team

Are you customer obsessed, eager to create opportunities and influence business decisions to improve the customer experience across our different Amazon businesses? Customer Experience and Business Trends (CXBT) is looking for an experienced, talented and highly motivated individual to join our Global Capability team based in Bangalore.
As a Business Analyst (BA), you will contribute to critical global services that measure Amazon’s end-to-end Customer Experience.

The BA will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with program and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs.

Key job responsibilities:

  1. Design and develop highly available dashboards and metrics using SQL and Excel/Tableau
  2. Perform business analysis and data queries using scripting languages like R, Python, etc.
  3. Understand the requirements of stakeholders and map them with the data sources/data warehouse
  4. Own the delivery and backup of periodic metrics, dashboards to the leadership team
  5. Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
  6. Execute high priority (i.e. cross functional, high impact) projects to improve operations performance
  7. Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area


About the team

Customer Experience & Business Trends (CXBT) is an organization made up of a diverse set of functions dedicated to deeply understand and improving Customer Experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem-solving, and we work backwards from there. We use technical & non-technical approaches and stay aware of industry & business trends. We are a global team, made up of a diverse set of profiles, skills & backgrounds - including Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more.

BASIC QUALIFICATIONS

  1. Bachelor's degree in mathematics, engineering, statistics, computer science or a related field
  2. 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
  3. 1+ years of tax, finance or a related analytical field experience
  4. Experience defining requirements and using data and metrics to draw business insights
  5. Experience with SQL or ETL
  6. Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages

PREFERRED QUALIFICATIONS

  1. Scripting languages such as Python experience to automate tasks and solve problems
  2. Knowledge of data modeling and data pipeline design
  3. Knowledge of how to improve code quality and optimize BI processes (e.g., speed, cost, reliability)
  4. Experience using very large datasets
  5. Strong analytical skills – ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem
  6. Communication skills – demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
  7. Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements

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 visitthis linkfor more information.

Posted:March 4, 2025 (Updated about 10 hours ago)

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.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.