Senior Business Intelligence Engineer, DSP Analytics

Senior Business Intelligence Engineer, DSP Analytics

Job ID: 2678693 | Amazon.com Services LLC

Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast-moving environment? Are you looking for an opportunity to define analytics roadmap, work with cross-functional teams, experiment with AWS tech solutions, and build decision-driven analytics solutions for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Senior Business Intelligence Engineer (BIE) to make an impact on Amazon’s Delivery Service Partner (DSP) program.

The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost-effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best-in-class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!

We are looking for an innovative, highly-motivated, and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will be a single-threaded leader for the org-wide DSP 360 product which provides end-to-end visibility into all DSP-related key business metrics and cross-program insights at your fingertips. You will work closely with multiple engineering teams, product managers, program managers, and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall DSP Experience. You will have an opportunity to lead large-scale data projects along with owning multiple domains within the team and contributing to the analytics roadmap.

Key job responsibilities

1. Own analytics roadmap for DSP 360 data product
2. Extract, transform, and load data from many data sources using SQL, scripting, and other ETL tools.
3. Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data-driven decisions across our team and with partner teams.
4. Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
5. Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.
6. Earn the trust of your customers and stakeholders by continuing to obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.
7. Work closely with business stakeholders and the leadership team to review the roadmap and contribute to business strategy and how they can leverage analytics for success.
8. Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem-solving, and communication of insights and recommendations.

About the team

We are the core Amazon DSP data analytics team with the vision to enable data, insights, and science-driven decision-making. We have exceptionally talented and fun-loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.

BASIC QUALIFICATIONS

1. 5+ years of SQL experience
2. 5+ years of professional or military experience
3. Experience programming to extract, transform, and clean large (multi-TB) data sets
4. Experience in scripting for automation (e.g. Python) and advanced SQL skills.
5. Experience with AWS technologies
6. Experience with theory and practice of information retrieval, data science, machine learning, and data mining
7. Experience with theory and practice of design of experiments and statistical analysis of results

PREFERRED QUALIFICATIONS

1. Experience working directly with business stakeholders to translate between data and business needs
2. Experience managing, analyzing, and communicating results to senior leadership
3. Prior Product Analytics experience in ability to envision and develop data products

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.

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