Senior Business Intelligence Engineer, AWS Support

Job ID: 2883610 | Amazon Web Services, Inc.

We are looking for a passionate Senior Business Intelligence Engineer to join a growing BI team in the AWS Support Product and Global Business Development organization to help inform the direction of AWS Support and Amazon Managed Services through data, at scale.

The successful candidate will have strong Business Analytics skills, be comfortable using SQL to identify KPIs to drive business growth, analyzing data to inform strategic and tactical initiatives, and document findings for less-technical audiences. Strong SQL (any implementation) is a must. Scripting skills and a background in Business are extremely valuable. This is a highly visible role that partners with Product Management, Marketing, Finance, and other stakeholder teams.

Analytics topics include, but are not limited to:

  1. Product / Value Proposition design
  2. Customer / Go-to-market
  3. Customer Experience
  4. Business Planning & Forecasting


Key job responsibilities
  1. Develop, launch, and scale self-service analytics and insights offerings
  2. 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
  3. Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
  4. Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
  5. Expert-level SQL
  6. Perform deep-dives and root cause analysis to answer business questions
  7. Work with cross-functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high
  8. Effectively communicate (written and verbal) solutions and methodologies to senior leadership
  9. Work with engineering teams to enable the appropriate capture and storage of data
  10. Complete ad hoc data retrieval and analysis
  11. Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals

BASIC QUALIFICATIONS

  1. 5+ years of SQL experience
  2. Experience with theory and practice of design of experiments and statistical analysis of results
  3. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  4. Experience with theory and practice of information retrieval, data science, machine learning and data mining
  5. Knowledge of data warehousing and data modeling

PREFERRED QUALIFICATIONS

  1. Experience working directly with business stakeholders to translate between data and business needs
  2. Experience managing, analyzing and communicating results to senior leadership
  3. Experience programming to extract, transform and clean large (multi-TB) data sets

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.

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