Business Analysis/Data Science

Role Overview: You will be responsible for studying and assessing the current data models in the product portfolio, refining them as needed, and working with the core Development/Engineering team on efficient data models. Additionally, you will research and architect database solutions, establish and maintain a proper pipeline of data requirements, and define and implement infrastructure requirements for data storage, retrieval, backup, and recovery. Your role will also involve supporting good data related practices, assisting in defining and executing data models and solutions, and building out analytics solutions. Key Responsibilities: - Study and assess current data models and refine them as needed - Keep track of data models, DB structures, data dictionaries, business/user requests, and prioritize needs for new data entities - Work with the core Development/Engineering team on efficient data models - Research and architect database solutions, platforms, and engines - Establish and maintain a proper pipeline of data requirements, cleansing, normalization, model build, integrations, and periodic updates of master data - Ensure transaction data needs and solutions - Define and implement infrastructure requirements for data storage, retrieval, backup, and recovery - Support and ensure good data related practices - Assist Delivery Management in defining and executing data models and solutions - Build out analytics solutions Qualifications Required: - Hands-on familiarity and experience with the various responsibilities stated above - Experience with various database engines and platforms, some of which may be embedded in products in OEM and other similar arrangements - Strong experience with building Excel models - Hands-on experience with multiple analytics engines such as MS PowerBI, Thoughtspot, Tableau - Ability to work with multiple development leads and teams, sales and marketing, executives, and customers - Exposure to and understanding of emerging disciplines of AI and machine learning, libraries, etc. - Technical engineering/CS academic qualifications preferred - 5-6 years of experience Please note that the additional details of the company were not provided in the job description.,