DESCRIPTION
How often have you had an opportunity to be at ground zero of a disruptive, fast-growing, and evolutionary global Amazon service? 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!
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, eliminating long-standing data quality gaps, and helping craft a data experience (DX) roadmap for the POM org globally.
You will work with BI Engineering and Tech teams to 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.
You will be responsible for being the EU POM subject matter expert on data, analyzing key performance indicators (KPIs) of our EU-based partners, and creating impactful reports and reporting tools. You will also conduct analyses to correlate delivery KPIs to business outcomes and help create new metrics.
Your key stakeholders will be partner operations, publishing operations, program management, product, BIE, and technology teams, and you will work with those stakeholders to define and build innovative data experiences for the Partner Operations Management team.
Key job responsibilities
1. Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes.
2. Own the design, development, and maintenance of ongoing metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
3. Learn and understand the broad range of Amazon's data resources and develop knowledge of how, when, and which data sources to use.
4. Deep dive into massive data sets to answer key business questions using tools/languages like SQL, Python, Quicksight, etc.
5. Partner with Data Engineering team to deploy new data technology where needed.
6. Present written recommendations and insights to key stakeholders that will better partner success strategies worldwide.
7. Manage and execute entire projects or components of large projects from start to finish including project management, data gathering, modeling, and problem solving.
BASIC QUALIFICATIONS
* Multiple years of experience as business analyst, data analyst or similar role.
* 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 Quicksight or similar tools.
* Solid experience with ETL, Redshift, etc.
* Experience with data modeling, warehousing, and building ETL pipelines.
* Experience defining requirements and using data and metrics to draw business insights.
* Clear and effective verbal and written communication skills.
* Able to explain complex data topics to non-tech stakeholders with ease.
PREFERRED QUALIFICATIONS
* 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.
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