Responsibilities

• Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions.
• Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline.
• Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights.
• Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs.
• Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders.
• Think creatively to identify opportunities to solve problems using technology-driven solutions.
• Design and implement optimal automation solutions to address stakeholder needs.
• Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates.
• Run Tech prioritization mechanism, and write document for leadership review on program updates.
• A day in the life: build innovative solutions with large-scale data tools, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions.

Requirements

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 3+ years of SQL, ETL or Oracle experience
• 3+ years of processing large, multi-dimensional datasets from multiple sources experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• 3+ years of performing statistical analysis experience
• 3+ years of developing automated reporting experience
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred

• 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

Benefits

• health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance and option for Supplemental life plans
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• paid time off
• parential leave