NO C2C - Business Intelligence Engineer

Title: Business Intelligence Engineer III

Duration: 5 months (No extension/Conversion)

Location: Seattle, WA 98121 (5 days onsite)

Interview: 1 round 1.5 hours (30-minute technical assessment)

1 round 1 hour with HM

Must-Have:

• Quick Sight (or equivalent)
• SQL
• Analytics

Job Description:

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100 channels including Max, discovery , Paramount with SHOWTIME, BET , MGM , ViX , PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Client's enormous selection, exceptional value, and fast delivery.

Within our Prime Video Global Operations team, we're looking for a results-driven BI Engineer to develop our data strategy, reporting automation, insights, and planning capabilities. In this role, you will be responsible for taking data from marketing and business teams, finance, HR, strategy, product, and tech to develop and own insights, planning, and reporting mechanisms for Client PV & Client MGM Studios.

This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV's Global Marketing Operations data collection , operational metrics, and capacity planning capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV's performance.

The ideal candidate has a strong sense of ownership, is self-driven and loves to break new ground. You will bring a mix of experience including data management and governance, reporting automation, cross-functional collaboration and process improvement. If you enjoy leading global strategic initiatives, working in a fast-paced dynamic environment, and being challenged by new problems, we'd like to speak with you!

Key Responsibilities:

• Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.
• Define the data elements and data structure that the PV Marketing Global Operations team should leverage to enable analytical and reporting capabilities for the business development team.
• Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
• Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
• Partner with operations/business teams/science/and tech teams to consult, develop and implement KPI's, automated reporting/process solutions and data infrastructure improvements to meet business needs.
• Help drive new initiatives and data integration projects.
• Own forecasting, prioritization analysis, and resource growth needs for internal PV delivery teams. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
• Prioritize effectively in a fast-paced environment and highly-matrixed organization.

Job Qualifications:

• 7 years of experience working with large-scale complex datasets
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Background (academic or professional) in statistics, programming, and marketing
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
• Excellent communication skills, equally adept at working with engineers as well as business leaders