Data Insights Manager for Comixology Business
3 weeks ago
Ambitious and experienced professionals are invited to join the Athena Analytics team at myGwork, a leading platform for the LGBTQ+ business community. As a Business Intelligence Engineer, you will be responsible for synthesizing data into actionable insights that drive growth and innovation across various businesses.
The ideal candidate will have 3+ years of experience in analyzing and interpreting large-scale data sets using Redshift, Oracle, NoSQL, and other databases. They will also have expertise in data visualization using Tableau, Quicksight, or similar tools, as well as experience with data modeling, warehousing, and building ETL pipelines.
In this role, you will work closely with a cross-functional team of scientists, data engineers, and software engineers to develop science-based systems for marketing and content discovery, fraud/abuse detection, and content risk management. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others to translate data into meaningful insights.
The salary for this position is estimated to be around $120,000 per year, based on industry standards and location. Benefits include a strong customer-focused culture, technical autonomy, value end-to-end ownership, and opportunities for professional growth and development.
Key responsibilities include:
- Connecting with world leaders in the field to solve complex problems
- Working with massive-scale data to provide analytic support to scientists, product managers, and engineers
- Utilizing expertise in business analysis, metrics, reporting, and analytic tooling to translate data into insights
- Owning the insights developed for the business and playing an integral role in tactical decision-making for critical risk areas
About the team:
Minerva is a highly experienced team of scientists, data engineers, and software engineers working on a critical business mission to make revolutionary leaps forward using advanced analytics and machine learning. We help democratize the publishing industry by building science-based systems for marketing and content discovery, fraud/abuse detection, and content risk management.
Required qualifications include:
- 3+ years of experience in analyzing and interpreting large-scale data sets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing, and building ETL pipelines
- Expertise 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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