Data Scientist

Job Requirements

Job Title: Data Analyst/Scientist

Function/Department: Data & Analytics

Job Purpose:

The Data Analyst/Scientist role identifies business needs and builds analytical tools and methods. Will also develop test strategies and ensure delivery outcomes for specific business asks on Data Analytics.

Job & Responsibilities:

• Identify and scope business requirements and priorities through rigorous information gathering and analysis, as well as clarification of solutions, initiatives, and programs to enable effective delivery.
• Monitor and integrate emerging technology trends and developments, structured data gathering for the identification of new and emerging technological products, services, and techniques.
• Specify and create data structures, including setting various parameters that can be modified to suit different structured and unstructured data requirements, the design of data flow, as well as the development of mechanisms for maintenance, storage, and retrieval of data based on business requirements.
• Develop and implement guidelines, processes, and norms across the organization for handling data at various stages in its lifecycle, as well as providing advice on proper data handling and resolution of data breaches in a range of complex, ambiguous, or multi-faceted contexts.
• Design solution blueprints and structures to guide the development of tech solutions to meet current and future business needs.
• Manage stakeholder expectations and needs by aligning them with the organization's requirements and objectives.
• Develop a test strategy and systematic test procedures to verify and ensure that solutions meet their design specifications, as well as performance, load, and volume levels.
• Identify and evaluate digitization and innovative business opportunities provided by new advancements in data & analytics to establish new services or businesses to bridge the physical and digital worlds.
• Develop, select, and apply analytical tools and advanced computational methods to enable systems to learn, improve, adapt, and produce desired outcomes or tasks.

Key Success Metrics:

• Development of analytical tools and deployment
• Business use cases

Education Qualification:

Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) / Master of Technology (M.Tech) / Master of Computer Applications (MCA)