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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Amazon Senior Business Intelligence Engineer, PubTech Data, Insights & Analytics in New York, New York

Description

Note on location: We are open to candidates located in:

New York, New York

Seattle, Washington

As a Senior Business Intelligence Engineer, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term vision

A successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that advertisers love. You must engage with customers to deeply understand their current and emerging needs. Publisher Technology at Amazon is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of the customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.

Key job responsibilities

  • Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, and dashboards to drive key business decisions

  • Transform data into actionable insights and influence the direction of the business by delivering automated insights and high quality metrics dashboards.

  • Partner with Data Engineering to define data models to develop streamlined automated data and analytical pipelines.

  • Engage and collaborate with stakeholders to design and develop high quality metrics and dashboards that effectively track evolving business initiatives.

  • Present and communicate findings and recommendations to product and leadership team.

  • Engage with leadership and diversified stakeholder groups to understand data needs and recommend Business Intelligence solutions.

About the team

Amazon is continuing to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.

The Publisher Technology Data, Insights, and Analytics team enables faster data-driven decision making for Publishers and Monetization teams by providing them with near real time data, data management tools, actionable insights, and an easy-to-use reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.

Basic Qualifications

  • 10+ years of professional or military experience

  • 5+ years of SQL experience

  • Experience programming to extract, transform and clean large (multi-TB) data sets

  • Experience with theory and practice of design of experiments and statistical analysis of results

  • Experience with AWS technologies

  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.

  • Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

  • Experience working directly with business stakeholders to translate between data and business needs

  • Experience managing, analyzing and communicating results to senior leadership

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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