Data Analyst
3 weeks ago
Company Overview
\Minerva Science and Analytics team is a cross-functional group of highly experienced scientists, data engineers, and software engineers working on critical business problems. Our mission is to use massive-scale data with advanced analytics and machine learning to revolutionize the book 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.
We are looking for an experienced Business Intelligence Engineer to help us synthesize data into knowledge across a large number of businesses.
Job Description\
As a Business Intelligence Engineer at Minerva Science and Analytics team, you will work with world leaders in your field solving similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using these data. Your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others will enable you to translate 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.
About the Role\
We are looking for someone who can analyze and interpret large datasets, design and implement data pipelines, and develop data visualization tools to communicate complex insights to stakeholders. Your ability to work with diverse systems and sources, and bring data together from various locations, will be key to success in this role. You will be part of a collaborative team that values technical autonomy and end-to-end ownership.\
Key Responsibilities\
- Design and implement data pipelines using Redshift, Oracle, and NoSQL databases
- Develop data visualization tools using Tableau, Quicksight, and other industry-standard tools
- Analyze and interpret large datasets to identify trends and patterns
- Collaborate with cross-functional teams to communicate insights and drive business decisions
Requirements\
- 2+ years of experience 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
Salary\
The estimated annual salary for this role is ₹12,00,000 - ₹20,00,000 depending on location and experience.
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