Business Intelligence Engineer, Prime Video India

Department Icon IT / Software Development & Related
Posted: 3 months ago
0-1 years
Mumbai, Maharashtra
IT / Software Development & Related
work from office
Full Time

Posted: 3 months ago
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Job Description

  • Just Now
  • Business Intelligence Engineer, Prime Video India
  • Amazon mumbai
  • Ai Recommended
  • 0% Match Score

About The Job

Amazon is hiring for the role of Business Intelligence Engineer, Prime Video India!

Key Job Responsibilities

  • Strong interest and ability to take complex datasets and boil them down to actionable data visualizations.
  • Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions.
  • Build scalable, efficient, and automated data processes to inform business decision making.
  • Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn.

Basic Qualifications

  • Bachelors degree in statistics, business analytics, data analytics, data science, computer science or related field
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Speak, write, and read fluently in English

Preferred Qualifications

  • Masters degree, or Advanced technical degree
  • Experience applying basic statistical methods (e.g. regression) to difficult business problems
  • Experience with statistical analysis, co-relation analysis
  • Experience with scripting language (e.g., Python, Java, or R)

Required Skills

  • SQL – Expertise in querying and analyzing large datasets (Redshift, Oracle, NoSQL, etc.)
  • Data Visualization Tools – Proficiency in tools such as Tableau, Power BI, Amazon QuickSight, Excel, or MicroStrategy
  • Programming/Scripting – Familiarity with Python, R, or Java for data processing and analysis
  • Dashboarding & Reporting – Ability to design, build, and maintain performance dashboards and reports
  • Data Processing – Experience building scalable and automated data pipelines
  • Customer Insights – Ability to derive insights on customer behavior and churn from complex data
  • Metrics Development – Skill in defining and developing new KPIs/metrics for business use
  • Statistical Analysis – Knowledge of statistical methods such as:
    • t-tests
    • Chi-squared tests
    • Regression analysis
    • Correlation analysis

Skills

PythonJavaOracleSql

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