What are the responsibilities and job description for the Business Intelligence Engineer, Prime Video Content Analytics and Products position at Amazon?
DESCRIPTION
Amazon Studios is the movies and television development and production arm of Amazon. We produce original content and licensed studio programs worldwide exclusive to Amazon’s Prime Video customers.
Available in more than 240 countries and territories and more than 150 million subscribers, Prime Video offers customers the broadest selection of any on-demand video service, including critically-acclaimed Amazon Originals Series such as the multi-award-winning The Marvelous Mrs. Maisel, Jack Ryan, The Boys, Harlem, Bosch, Modern Love and many more.
We are hiring Business Intelligence Engineers and experienced data and analytics professionals to join our Prime Video and Studios, Content Analytics and Products team.
This is an exciting opportunity to join our team at an early, high growth stage and have ownership of tools and strategy that will allow the business to scale within our fast-growing studio. This an exciting time to be working in the television and film industry.
As a Business Intelligence Engineer, you will collaborate with cross-functional teams often including (finance, production, technology, data and software engineering). Our engineers create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of the business.
Day-to-day responsibilities include building the infrastructure for regular reporting on business and production financial data, providing consumer insights and content analytics, and diving deep to uncover insights that will impact financial decisions. You will leverage data to provide key data-driven recommendations, enable new analyses, and innovate on behalf of our business customers.
We need your passion, innovative ideas, and creativity to help us continue to grow to new global heights.
Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing reports, analyses, data pipelines, and dashboards to support business needs.
· Generate actionable insights through the development of metrics, dashboards and deep dive analyses.
· Serve as a technical, business-metrics specialist and insight provider in the organization.
· Act as a key interface between our internal business customers and technical teams.
· Leverage extensive data sets to derive strategic insights that shape business decisions on content spend and studio investments.
· Present insights to senior stakeholders in creative development, finance, production, technology and marketing.
· Work in a fast paced, global environment, across various functional teams.
A day in the life
Create and manage automated and scalable analytical tools to drive the growth and expansion of the business. Partner with cross-functional teams to present on business and production financial data, providing consumer insights and content analytics. Engineer new solutions, enhance existing ones, provide key data-driven recommendations, enable new analyses, and innovate on behalf of our business customers.
About the team
The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle, from the initial concept through production to post-launch analysis.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience writing complex SQL queries
- Proven ability to independently work effectively in a cross-functional, fast paced environment
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $89,600 - $185,000
