Business Analyst, Prime Video Partner Operations

ACCA Careers; London; On-site; GBP 40,000 - 80,000

Job description

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.

We are looking for an expert who can build and analyse data systems, spot important business patterns, and create metrics that measure success.

You will be responsible for being the EU POM subject matter expert on data. You will take the lead to analyse at scale key performance indicators (KPIs) of our EU based partners (like on time delivery/quality metrics/etc.). This will involve creating impactful reports and reporting tools that showcase trends & insights on those KPIs, which should drive better decision making and high quality performance discussion with our studio partners. You will also conduct custom/think big analyses to correlate delivery KPI's to business outcomes and help create new metrics like cost-to-serve, content parity score, etc. Part of your role you will collaborate with counterpart BAs in other POM teams (Japan/India/USA) to solve long standing and complex data quality problems impacting the POM team's KPIs.

As a Partner Operations Business Analyst, you will bring innovation to how we collect, measure, and analyse our KPIs. You will offer valuable perspective on how could a great POM data experience look like in 3-6-12 months. You will be a passionate voice to insist on highest data quality and analytics standards for the POM org. You will bring an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives.

Your key stakeholders will be partner operations, publishing operations, program management, product, BIE, and technology teams; you will work with those stakeholders to define and build innovative and delightful data experiences for the Partner Operations Management team. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed.

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 the right 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, modelling and problem solving.

BASIC QUALIFICATIONS

• 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.

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.

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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.

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