Data Insights Analyst
4 weeks ago
About the Role
We are seeking an experienced Business Intelligence Engineer to join our Minerva team at ADCI - Karnataka - A66. As a Business Intelligence Engineer, you will play a critical role in helping us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way.
Key Responsibilities
- Connect with world leaders in your field working on similar problems.
- Work with massive-scale data and provide analytic support to scientists, product managers, and engineers using these data.
- Utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights.
- Have ownership of 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 and helping democratize the publishing industry. 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.
Requirements
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
- Experience with scripting language (e.g., Python, Java, or R).
Preferred Qualifications
- Master's degree, or Advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis, co-relation analysis.
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