Business Intelligence Engineer, GTPC Tech

Business Intelligence Engineer, GTPC Tech

06 Sep 2024
Texas, Dallas / fort worth, 75201 Dallas / fort worth USA

Business Intelligence Engineer, GTPC Tech

DescriptionDo you want to innovate on a growing platform with Amazon Web Services? Come join our team in AWS and help us design and develop solutions that enable AWS to expand our operations into new data centers worldwide. As a Business Intelligence Engineer (BIE), you will build data products and platforms that will help AWS comply with global trade requirements at scale. You'll design and build data solutions which will influence critical AWS product and trade compliance workflows and help leaders make strategic business decisions.Key job responsibilitiesIn this role you will:

Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

Design and maintain efficient data models for analytical and operational purposes, considering scalability, performance, and data integration requirements.

Build scalable solutions/self-serve platforms that will provide data/KPIs to support business decision making.

Recognize and adopt best practices in reporting and analysis: discovery, design, build, test, validation, and documentation.

Proactively developing new metrics and studies to quantify customer behavior.

Able to present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.

Provide technical guidance and mentorship to junior engineers, fostering knowledge sharing and continuous learning.

Document data architectures, pipelines, and processes to ensure maintainability and knowledge transfer.

About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Basic Qualifications

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Experience with data modeling, warehousing and building ETL pipelines

Experience with data visualization using Tableau, Quicksight, or similar tools

3+ years experience performing business intelligence or business analyst functions, including data warehousing and business intelligence tools.

Experience in SQL

Preferred Qualifications

Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Experience with AWS solutions such as Glue, S3, Kinesis, and Redshift.

Experience performing exploratory data analysis using scripting languages like Python.

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 $89,600/year in our lowest geographic market up to $185,000/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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