Data Analyst and Insights Manager for Amazon Publishing
3 weeks ago
About myGwork and this Role
myGwork is an inclusive employer and a member of the LGBTQ+ business community. We are looking for an experienced Business Intelligence Engineer to help us make data-driven decisions across our publishing business.
Job Summary
This role involves working with massive-scale data to provide analytical support to scientists, product managers, and engineers. You will utilize your expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate data into meaningful insights.
Key Responsibilities
- Connect with world leaders in the field working on similar problems
- Work with massive-scale data and provide analytical support to scientists, product managers, and engineers
- Utilize expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others
- Owning the insights you are building for the business and play an integral role in tactical decision-making for critical risk areas
About the Team
Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning.
We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business.
Salary Estimate
The estimated salary for this role is around $120,000 - $180,000 per year, based on national averages in the United States and depending on location.
Required Skills and Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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