Data Analyst

Candidate who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Understanding of data mining, mathematics, and statistical analysis

Understanding of pattern recognition and predictive modeling experience

Hands on knowledge with Excel, SQL, PowerPoint, Tableau, Qlik Sense, PowerBI and programming languages (i.e., Java/Python, SAS)

Strong Logical thinking.

Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects

Professional certifications will be added advantage.

Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products

Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries

Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy

Provide Quality visualization to back data story which will help in data driven decisions.

Analyze data for trends and patterns, and Interpret data with a clear objective in mind

Implement analytical models into production by collaborating with software developers and machine learning engineers.

Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems