Business Intelligence Engineer, Prime Video Science Tech

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Advertising, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Automation, Business Intelligence, Business Strategy, Business Support, Communication Skills, Customer/Client Research, Customer/Consumer Behavior, Data Analysis, Data Management, Data Mining, Data Modeling, Data Processing, Data Science, Data Sets, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Device Drivers, Establish Priorities, Forecasting, Leadership, Market Segmentation, Marketing, Marketing Campaign, Marketing Strategy, Metrics, NoSQL, Oracle, Organizational Development/Management, Problem Solving Skills, Process Modeling, Python Programming/Scripting Language, Reporting Dashboards, Reporting Skills, Requirements Management, SQL (Structured Query Language), Scripting (Scripting Languages), Statistics, Tableau, Use Cases

LOCATION

Seattle, WA

POSTED

8 days ago

Description Amazon is seeking a Business Intelligence Engineer to analyze marketing drivers and customer behavior for Prime Video content. This role supports a business critical to Amazon Prime subscriptions, and more specifically decision making on Prime Video content evaluations and marketing strategy. Key job 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. A day in the life A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. - 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. About the team The Prime Video Science Tech (PVS Tech) team builds data and software products, tools and infrastructure to increase Prime Video efficiency in marketing measurements and content evaluations. We build complex data products to provide insights into customer segments worldwide and support scaled forecasting tools. We measure and forecasts the performance of our marketing campaigns, and how many new customers will our advertising spend drive. We collect diverse signals of marketing impressions and publish model outputs for driving key business decisions. We analyze key metrics that attract new Prime members. We build tools that measure the long-run value driven by customer engagement with our content. Basic Qualifications - 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 Qualifications - 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 opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles