Data Insights Specialist
2 weeks ago
We are seeking a highly skilled Business Intelligence Engineer to join our Minerva team at ADCI - BLR 14 SEZ - F07. As a key member of our cross-functional team, you will play a critical role in leveraging massive-scale data with advanced analytics and machine learning to revolutionize the book industry.
About the RoleAs a Business Intelligence Engineer, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, engineers using these data. You will 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. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for critical risk areas.
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, 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.
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 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).
- Master's degree, or Advanced technical degree.
- Knowledge of data modeling and data pipeline design.
- Experience with statistical analysis, co-relation analysis.
The estimated salary range for this position is ₹1,200,000 - ₹1,800,000 per year, depending on qualifications and experience. Additionally, we offer a comprehensive benefits package including health insurance, retirement plan, and paid time off.
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