Job Description

Exp: 5 - 10 years Principal Business Intelligence Analyst Summary Principal Business Intelligence Analyst Department: IT & MIS Description • Business data analysis skills using large data sets • Expert in scripting language such as Python, java script, Perl, and data base languages such as SQL. • Ability to ingest data using API from external sources, run machine learning or rule-based algorithm on them and then post it to respective external systems using APIs. • Data science/ Machine learning modelling is a plus • Able to weave stories with meaningful insight from data. • Excellent communication skills • Translate business needs into analytics opportunities and solutions • Innovate and develop interactive ML driven tools for improving business offerings • Experience in Tableau, Data studio or any popular dash boarding tool. • Understanding audiences • Leverage management APIs for various system for scalable management. • Machine learning optimization for digital media spend • Identify high propensity audiences • Java scripting to do various types of validation for smooth paid marketing operations. • Ability to independently explore and identify right APIs and methodology to ingest data using APIs from many digital media vendor systems/ platforms • Create centralized UI to manage digital media pull and push to external platforms • Excellent data story teller will be outstanding communication skills. • Ability to unravel hidden data stories and communicate same effectively. • Conduct detailed and advanced analyses of new and existing businesses covering a variety of areas including financial modeling pricing, ROI analysis, revenue optimization, and product performance. • Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve hard analytics problems, where the problems may range from exploratory to highly applied. • Suggest appropriate analysis, ideas and data points to help drive business decisions collaborate with business partners to prioritize areas of opportunity to drive growth and improved customer retention - Lead and execute analytics problems end-to-end. • Skilled at probing for, evaluating and synthesizing data from disparate data sources to draw interpretive insights. • Assist with preparation of reports, written analyses, trial and other prese