Sr Business Intel Engineer, Amazon Pharmacy
Seattle, WA, 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...We are looking for a Senior Business Intelligence Engineer to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy!
#everydaybetter
Key job responsibilities
You know and love solving problems using data, working with business intelligence tools, can build ETL pipelines, statistical models using multidimensional data sets and can partner with business owners to answer key questions. You are analytical, innovative, creative, disruptive, and you don’t give up. In this role you will have an opportunity to launch new features in our data lake from scratch, add new products to our inventory, influence targeting strategy for our products, implement end to end reporting solutions and support product managers in their day to day testing and business needs.
1. Partner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy.
2. Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users
3. Partner with Business Intel Engineers, Software Development Engineers, Data Engineers, Product Managers, and other tech teams to invent, design and build data solutions that are stable and performant.
4. Help your team evolve by actively participating in the code review process, design discussions, team planning, and metric reviews
5.. Make recommendations for new metrics, techniques, and strategies to improve campaign targeting and measurement.
6. Improve Amazon Pharmacy's capabilities/products and help business owners uncover hidden opportunities using data, analytics and machine learning.
7. Provide ad-hoc and automated access to large data sets.
8. Understand business and product strategies, goals and objectives. Set the analytics roadmap to drive the goals of the business.
9. Own the analytics for one or more product areas, lead planning, execution and delivery of projects for that area(s), manage stakeholders and internal customer/client needs/requests
About the team
We accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions.
To accomplish our vision:
1. We provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data.
2. We identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency
3. We continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally
4. We surface key performance indicators for product and process improvements spanning across various pharmacy departments.
We are open to hiring candidates to work out of one of the following locations:
Boston, MA, USA | Seattle, WA, USA
Basic Qualifications
- Experience building measures and metrics, and developing reporting solutions
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Completed Bachelor's degree
Preferred Qualifications
- Master's degree in statistics, data science, or an equivalent quantitative field- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
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 Data visualization Data Warehousing Engineering ETL Hadoop Machine Learning Pipelines Privacy Python QuickSight R Redshift Ruby Security SQL Statistics Tableau Testing
Perks/benefits: Career development Equity Flex vacation
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs