Sr. Business Intelligence Engineer, AWS Marketing -Marketing Tech
Austin, Texas, USA
Full Time Senior-level / Expert USD 104K - 202K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Position may be located in Austin, TX, Seattle, WA or near any Amazon/AWS U.S. Corp office only. Relocation offered from within the US only to these locations.
Key job responsibilities
Core responsibilities include:
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.
* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.
* Support central BI team in reporting on global marketing efforts.
* Promote best practices in ETL and mentor your team.
About the team
The Amazon Web Services (AWS) cloud computing platform is used by millions of businesses and developers around the world, ranging from start-ups to Fortune 50 enterprises. AWS is at the forefront of cloud computing, which is one of the highest impact technology developments in the last 15 years. The AWS Email Marketing Technology team owns the customer experience and the overall impact of communications delivered through the AWS email channel. The team provides AWS global marketing stakeholders with tools, governance, and the operations support to effectively deliver programs that drive AWS growth and adoption.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Seattle, WA, USA
Basic Qualifications
- * 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- * Experience with data visualization using Tableau, Quicksight, or similar tools
- * Experience with data modeling, warehousing and building ETL pipelines
- * Experience in Statistical Analysis packages such as R, SAS and Matlab
- * Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Knowledge of data warehousing and data modeling- Master's degree in statistics, data science, or an equivalent quantitative field
- 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 $104,300/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.
Tags: AWS Business Intelligence CX Data pipelines Data visualization Data warehouse Data Warehousing Engineering ETL Matlab NoSQL Oracle Pipelines Python QuickSight R Redshift SAS SQL Statistics Tableau
Perks/benefits: Career development Equity Relocation support Startup environment
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