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

Posted 4 days 18 hours ago by Amazon

Permanent
Not Specified
Other
London, United Kingdom
Job Description
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) Capability team 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. This role 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. Perform deep data analysis, document findings and insights, and communicate to business stakeholders.
  2. Empower technical and non-technical internal customers to self-serve data pull and data analysis needs.
  3. Be the expert on the data used and generated by the team's products. Act as Subject Matter Expert when it comes to data questions.
  4. Derive insights from data; Synthesize data into succinct narrative and bridges to enable business and leadership to make investment and strategy decisions.
  5. Develop and automate market-segment reports to enable business team to understand impact of targeted initiatives.

BASIC QUALIFICATIONS
  1. 3+ years of tax, finance or a related analytical field experience.
  2. Experience defining requirements and using data and metrics to draw business insights.
  3. Experience making business recommendations and influencing stakeholders.
  4. Experience with Excel.
  5. Bachelor's degree in computer science, engineering, mathematics or equivalent.
  6. 6+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables).
  7. Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages.
  8. Fluency in SQL and ETL.
PREFERRED QUALIFICATIONS
  1. Knowledge of data modeling and data pipeline design.
  2. Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field.
  3. Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques.
  4. Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability).
  5. Experience using very large datasets.
  6. Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem.
  7. Communication skills - Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
  8. 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 visit this link for more information.

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.