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1 week ago
CloudTune, in partnership with Region Flexibility, is driving an SDO-wide program to diversify our use of AWS regions beyond DUB, IAD, and PDX regions. The objective of the Diversify AWS Region Usage (DARU) program is to mitigate the risk of capacity concentration by encouraging teams to design workloads that are region-flexible, utilize AWS automation such as Flexible Fleets to access multiple capacity pools, and optimize workload placement so SDO efficiently utilizes AWS. This is a strategic, highly visible, multi-year program which spans all Amazon business.
We are looking for an experienced Sr. Business Intelligence Engineer to join our forecasting team and support DARU program. In this role, you will be working with scientists, software engineers, data engineers, and product managers on a variety of important applied machine learning problems in the area of time series modeling. You will lead the analytics function of our forecasting systems and models. As a Sr. Business Intelligence Engineer, You will be responsible for designing, building and maintaining data infrastructure, creating automated reporting and dashboards, designing and measuring experiments, and executing complex analysis to support business functions.
Key job responsibilities
* Engage with leadership and diversified functional groups to understand the needs and recommend business intelligence solutions.
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key insights and business decisions.
* Automate and simplify self-service or reporting pipelines, including improving ETL workflows, automatic alarming and performance tuning.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Make recommendations for new metrics, techniques, and strategies to improve business KPI's
* Use analytical and statistical rigor to identify performance gaps and opportunities
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
- Master's degree in statistics, data science, or an equivalent quantitative field
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
