Senior Business Intelligence Engineer, Partner Analytics
Seattle, Washington, USA
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...You will drive impact by helping your team to focus on the right priorities, building mechanisms and dashboards to make data accessible to internal teams, and leading the development of strategic initiatives including marketing attribution models and impact measurement.
You will be part of the Ads Partner Development and Marketing org and will work closely with stakeholders including marketing, product, finance, and partner development teams.
This highly visible and strategic role will require you to use SQL, ETL, data warehouse concepts, data modeling, business analysis, reporting, scripting, descriptive & inferential statistics to create business insights. You will need to be savvy about leveraging large data sets, defining BI requirements, and building scalable and automated dashboards to provide self-service BI capability to your stakeholders.
Key job responsibilities
- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.
- Identify, develop, manage, and execute queries across multiple data sets to uncover areas of opportunity and present written business recommendations.
- Lead Agile Sprints and task prioritization to drive impact
- Lead infrastructure creation for partner advertiser datasets which will include setting up new redshift cluster, creating new data pipelines and building schema for partner tables
- Strong proficiency at querying and architecting relational databases - e.g. ETL, Data Warehouse, Redshift
- Develop attribution analysis to measure the impact of marketing activities and engagement with partners
- Develop a framework to understand the impact that partners drive on our business globally
- Communicate with internal teams to showcase results and identify best practices
#adptjobs
#sspajobs
About the team
This role is within Partner Analytics team within the Global Advertising Partner Development organization. We help advertisers and developers to scale their use of Amazon Advertising and grow their business via software tools and marketing/engagement programs that enable developers (internal and external) and partners (agencies and tool providers) to better serve advertiser needs.
Basic Qualifications
- 6+ 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
- Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Experience with Massively Parallel Processing (MPP) databases - Redshift (preferred), Teradata.
- Experience with R, Python or other statistical/machine learning software.
- Experience with Tableau.
- Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required, both verbally and written.
- Be self-driven, and show ability to deliver on ambiguous projects.
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. Applicants should apply via our internal or external career site.
Tags: Agile AWS Business Intelligence Computer Science Data Mining Data pipelines Data warehouse Engineering ETL Finance Machine Learning Mathematics MPP Pipelines Python R RDBMS Redshift SQL Statistics Tableau Teradata
Perks/benefits: Career development Equity Team events
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 Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs