Amazon.com Services LLC

Business Intelligence, Business Intel Engineer, cross channel cross category marketing

Sr.BusinessIntelEngineer,WIMSI

$130–176k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Business Intel Engineer, WIMSI at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Reporting Pipelines, Data Analysis. Design reporting pipelines. Develop reporting pipelines”

What You'll Achieve.

Drive businesses forward

Industry & Context.

Business Intelligence, Business Intel Engineer, cross channel cross category marketing
Problems you'll solve

Solving complex problems

What They're Looking For.

Must Have

10+ years of professional experience, 5+ years of SQL experience, 1+ years of SQL, ETL or Oracle experience, 1+ years of processing large, multi-dimensional datasets, 1+ years of performing statistical analysis, 1+ years of developing automated reporting, Experience programming to extract, transform and clean large data sets, Experience with design of experiments, Experience with statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills

Nice to Have

Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership

What You'll Do.

Design reporting pipelines

Develop reporting pipelines

Oversee reporting pipelines

Onboard agency managed media metrics

Collaborate with stakeholders

Understand business domains

Understand requirements

Understand expectations

Work with data source owners

Gain insights into capabilities

Gain insights into limitations

Deliver data analysis

Support business needs

Adopt best practices in reporting

Ensure data integrity

Design thorough testing

Maintain comprehensive documentation

How You'll Work.

Team & Collaboration

Cross-functional team; Marketing stakeholders; Advertising stakeholders; Finance stakeholders; Engineering stakeholders; Legal stakeholders; Product management stakeholders; Business units

Communication Scope

Verbal communication; Written communication

Process & Methodology

Roadmap planning

Full Job Description

Do you want to work on a global project of critical importance to the future of Amazon, tackling real never-been-done-before challenges of remarkable complexity? Do you enjoy fusing marketing, customer experience, and technical skills to create a holistic, data-driven picture? If so, the WIMSI (WW Integrated Marketing & Systems Intelligence) team is seeking an enthusiastic and skilled Business Intelligence Engineer to join our global, cross-functional team. As the Business Intelligence Engineer, you will play a pivotal part in establishing a standardized data platform with clean, reliable, and accessible data feeds. This platform will support the functional areas of cross-channel media strategy and planning, buying, marketing operations, campaign reporting, and measurement. By providing trustworthy data, technology, and tools, you will empower the business to become more data-aware and make informed, data-driven decisions. In this role, you will collaborate closely with stakeholders across marketing, advertising, finance, engineering, legal, and product management. If you are excited by the prospect of tackling complex, ambiguous challenges and driving the development of new media planning and campaign lifecycle products and features, we encourage you to apply for this transformative opportunity. Key job responsibilities * Design, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.). * Onboard and monitor new features for current and future roadmap of reporting and measurement products .to enable data-driven decision-making * Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations. * Work closely with owners of data source systems to gain insights into their capabilities and limitations * Deliver minim

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