Business Intelligence Engineer, Prime Video APAC and ANZ Analytics Team
Prime Video & Amazon MGM Studios · Mumbai Metropolitan Region
- On site
- Full-time
- ₹1,500,000 / year
- Mumbai Metropolitan Region
Job highlights
- Drive customer insights for Prime Video APAC/ANZ analytics.
- Develop and maintain performance dashboards and reports.
- Build scalable, automated data processes.
- Quantify customer behavior and reduce churn.
- Translate complex data into actionable visualizations.
About the role
About Prime Video & Amazon MGM Studios
Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Prime Video APAC and ANZ team is seeking a Business Intelligence Engineer to drive customer insights for the PV APAC and ANZ analytics team. As a Business Intelligence Engineer, you will generate insights that support Prime Video India's content, programming, marketing, and marketplace lines of business.
The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills, experience building visual dashboards, and the ability to clearly communicate information to business stakeholders.
Key Job Responsibilities
- 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.
- Translate complex datasets into actionable data visualizations.
Basic Qualifications
- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- 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).
Preferred Qualifications
- Master's degree, or Advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis, co-relation analysis.
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Key skills/competency
- Business Intelligence
- Data Visualization
- SQL
- Tableau
- QuickSight
- Data Analysis
- Metrics
- Reporting
- Data Pipelines
- Customer Insights
Skills & topics
- Business Intelligence Engineer
- Prime Video
- Amazon MGM Studios
- Analytics
- Data Visualization
- SQL
- Tableau
- QuickSight
- Data Analysis
- Business Intelligence
How to get hired
- Tailor your resume: Highlight your SQL, data visualization (Tableau, Quicksight), and data analysis experience. Quantify achievements with metrics.
- Showcase problem-solving: Emphasize your ability to handle ambiguity and large datasets in your application.
- Demonstrate stakeholder communication: Provide examples of how you've translated data insights for business leaders.
- Prepare for technical interviews: Brush up on SQL, data modeling, and statistical methods relevant to business intelligence.
- Understand Amazon's culture: Research Amazon's Leadership Principles and how they apply to this role.
Technical preparation
Master SQL for complex queries and data manipulation.,Practice building dashboards with Tableau/QuickSight.,Review statistical methods and data modeling concepts.,Understand data pipeline design principles.
Behavioral questions
Describe a time you handled ambiguity.,How do you simplify complex data?,Tell me about a challenging data project.,How do you communicate insights to stakeholders?
Frequently asked questions
- What are the key technical skills required for a Business Intelligence Engineer at Prime Video?
- For this Business Intelligence Engineer role at Prime Video, you'll need strong SQL skills for data analysis and interpretation. Experience with data visualization tools like Tableau or QuickSight is essential, along with familiarity with industry analytics tools and statistical methods. Basic qualifications also include experience with databases like Redshift, Oracle, or NoSQL.
- How important is data visualization experience for this Prime Video job?
- Data visualization experience is critical for this Business Intelligence Engineer position at Prime Video. You'll be responsible for turning complex datasets into actionable visualizations to drive business decisions and quantify customer behavior. Proficiency with tools like Tableau, QuickSight, or similar is a key requirement.
- What kind of data analysis will I be doing as a Business Intelligence Engineer at Prime Video?
- As a Business Intelligence Engineer at Prime Video, you will analyze data to generate customer insights for content, programming, marketing, and marketplace operations. This includes developing new metrics, quantifying customer behavior, reducing churn, and designing performance dashboards to inform key business decisions.
- Does Prime Video offer opportunities for career growth for Business Intelligence Engineers?
- Prime Video, as part of Amazon MGM Studios, operates in a fast-paced, entrepreneurial environment. This typically offers ample opportunities for growth by taking on challenging projects, experimenting with new possibilities, and collaborating with diverse teams. The preferred qualifications, such as a Master's degree and knowledge of data pipeline design, suggest a path for advancement.
- What is the work environment like for a Business Intelligence Engineer at Prime Video?
- The work environment at Prime Video is described as fast-paced, challenging, and varied. It's an entrepreneurial setting where you're encouraged to experiment, take risks, and collaborate with remarkable people. The role requires comfort with ambiguity and large datasets, along with strong attention to detail.
- How can I best prepare my resume for the Business Intelligence Engineer role at Prime Video?
- To prepare your resume for the Business Intelligence Engineer role at Prime Video, focus on highlighting your experience with SQL, data visualization tools (Tableau, QuickSight), and analyzing large datasets. Quantify your achievements with specific metrics and examples of how you've driven business decisions through data insights. Mention any experience with data modeling or pipeline design if applicable.