Analytics Data Scientist at Infosys Bengaluru East

Key Responsibilities:Statistical Analysis: Utilize statistical tools (e.g., SAS, SPSS, R, Python) to perform analyses and implement statistical techniques such as Decision Trees, Logistic Regression, and Segmentation.Forecasting and Campaign Management: Assist in forecasting and customer segmentation efforts to optimize marketing campaigns.Data Integration: Collaborate with data teams to integrate data from various sources and ensure data quality.Business Problem Solving: Define key business problems, formulate mathematical approaches, and gather data to develop solutions. Present findings and insights to clients.Analytics Algorithms: Suggest appropriate analytics algorithms based on business situations, ensuring alignment with fundamental assumptions.Delivery of Solutions: Responsible for delivering advanced analytics solutions in client consulting environments, utilizing optimization, simulation, and predictive analytics tools.Communication: Prepare and deliver presentations to clients, ensuring clarity and addressing any questions or concerns effectively.Qualifications:Education: Bachelor’s degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science).Technical Skills: Proficiency with statistical analysis tools (SAS, SPSS, R, Python), and familiarity with database query tools (SQL). Strong Excel, Access, and PowerPoint skills are essential.Industry Knowledge: Basic understanding of industry principles, competitor landscape, and best practices relevant to analytics.Analytical Skills: Ability to analyze data from multiple sources, integrate findings, and develop cause-effect linkages.Business Acumen: Understand the connections between metrics and business objectives, and demonstrate awareness of the business value impact of analytics activities.Communication Skills: Strong communication abilities to present complex data insights clearly to diverse audiences.