Business Analyst, Prime Video Partner Operations
vor 3 Wochen
Job ID: 2911102 | Amazon Digital UK Limited
How often have you had an opportunity to be at ground zero of a disruptive, fast-growing, and evolutionary global Amazon service? How frequently do you get to start from the foundation and solve customer needs at a global scale in a fast-growing entertainment streaming industry? At Prime Video, we are pioneering a new generation of digital supply chain at a remarkable speed to accelerate our market position and global reach. If this sounds interesting, come build the future of streaming entertainment with us
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic and global environment where innovating on behalf of our customers is at the heart of everything we do.
We are searching for an insightful, results-oriented Business Analyst to join our Partner Operations Management (POM) organization, supporting the EU POM team. This role is crucial in assessing the POM team's data needs, taking the lead on eliminating long standing data quality gaps, and helping craft a data experience (DX) roadmap for the POM org globally. You combine technical skills with business insight skills.
You will work with BI Engineering and Tech teams to programmatically manage the identification and resolution of critical data quality topics. You will help develop analytics tools to support the Partner Operations Management team in their vision to become a "Partner Success" Organization.
Key responsibilities include:
- Solving ambiguous problems with less well-defined inputs and outputs; driving to the heart of the problem and identifying root causes.
- Owning the design, development, and maintenance of ongoing metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
- Learning and understanding the broad range of Amazon's data resources and developing knowledge of how, when and which data sources to use.
- Deep diving into massive data sets to answer key business questions using the right tools/languages like SQL, Python, Quicksight, etc.
- Partnering with the Data Engineering team to deploy new data technology where needed.
- Presenting written recommendations and insights to key stakeholders that will better partner success strategies worldwide.
- Managing and executing entire projects or components of large projects from start to finish including project management, data gathering, modelling and problem solving.
- Multiple years of experience as business analyst, data analyst or similar role experience.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling.
- Experience with data visualization using Quicksight or similar tools.
- Solid experience with ETL, Redshift, etc.
- Experience with data modelling, warehousing and building ETL pipelines.
- Experience defining requirements and using data and metrics to draw business insights.
- Experience making business recommendations and influencing stakeholders.
- Clear and effective verbal and written communication skills.
- Able to explain complex data topics to non-tech stakeholders with ease.
- Prior supply chain experience.
- Ability to influence senior leaders and stakeholders.
- Demonstrated ability to collaborate with technical and non-technical cross-functional partners.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
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