Role PurposeTo lead and support our big data initiatives. The candidate will be taking the lead on the following: Reviewing, designing & building an enterprise data lake for IMU University.Studying the existing data landscape and providing insights into the available data from across the enterprise and how they can be used to support the business. The candidate will design, build and maintain our Big Data Systems.You will use various methods to transform raw data into useful data sources, marts etc and ultimately align data systems with business goals. You will need to have strong analytical skills coupled with a keen interest in data analysis and the ability to combine data from different sources. The ideal candidate should be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.They must have strong experience using a variety of data mining/ data analysis methods, using a variety of data tools, building, and implementing models, using/ creating algorithms and creating/ running simulations.They must have a proven ability to drive business results with their data-based insights.They must be comfortable working with a wide range of stakeholders and functional teams.The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Job Requirements Bachelor's DegreeBusiness, IT, Computer Science, Database Management relatedTotal Work Experience: Minimum of 3 yearsTotal Relevant Experience: 3 years as a data analyst, data warehouse/BI reporting/ dashboard developer/ designer roleExperience in Machine Learning (ML)/Advanced Analytics (AA)/Artificial Intelligence (AI) related.Exposure in either R, Python, MATLAB, or other analytics/data mining packages.Expert skills in ML/AI Solution development on Cloud and perform for large scale digital and transactional data ingestion.Experience with large scale distributed data processing frameworks like Hadoop and SparkProven expertise in data science and analytics for key areas such as probability and statistics, time-series analysis, pattern recognition, optimization, and predictive modeling is an advantage.Ability to combine strong analytical skills with business knowledge.Strong quantitative and analytical skills, with statistical knowledge.Proficiency in SQL and Python is must.
