Description

JOB TITLE: Assistant Manager_Business Intelligence & Analytics DEPARTMENT: Business Intelligence LOCATION: Mumbai REPORTS TO: Manager BI Analytics Experience: 5 years + Skills Required: ML SQL Data Science EDUCATION & EXPERIENCE REQUIRED: Education (Minimum) Graduation/Post Graduation (preferably in a quantitative field such as statistics, mathematics, etc.). (Minimum) Certification on SAS and Mini Tab. (Preferred) Certified Business Intelligence Professional (CBIP) Certification is a plus. Experience Minimum of 5 years experience of which, 3 years should be of applied data mining experience in disciplines Call Centre Metrics. Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems. Demonstrated experience with Business Intelligence/Data Mining tools to work with data, investigate anomalies, construct data sets, and build models. Hands-on experience in SQL querying required Six Sigma / Lean / Business Excellence experience is a plus Functional Skills and Competencies: Understands advanced project management techniques and knows how to implement these techniques. Excellent skills in any data analysis tool and strong SQL database access and usage skills. Understands and knows R programming, statistical analysis, and machine learning algorithms. Knows how to do large-scale data mining (multi-million-row data sets), reporting and knowledge discovery. Demonstrates strong Excel capabilities, with pivot tables, data tables, excel functions, and scenario modeling. Knows how to work with VBA in EXCEL. Skillful with designing data warehouse and business intelligence architecture including data integration, schema design, data modeling, query optimization, data reporting and visualization. Displays strong research orientation and is familiar with various research methodologies and fundamentals such as Data Collection Methods, Measurement and Scaling Techniques, Sampling Fundamentals, Analysis of Variance and Covariance, Multivariate Analysis Technique, etc.

Role and Responsibilities

• JOB TITLE: Assistant Manager_Business Intelligence & Analytics DEPARTMENT: Business Intelligence LOCATION: Mumbai REPORTS TO: Manager BI Analytics Experience: 5 years + Skills Required: ML SQL Data Science EDUCATION & EXPERIENCE REQUIRED: Education (Minimum) Graduation/Post Graduation (preferably in a quantitative field such as statistics, mathematics, etc.). (Minimum) Certification on SAS and Mini Tab. (Preferred) Certified Business Intelligence Professional (CBIP) Certification is a plus. Experience Minimum of 5 years experience of which, 3 years should be of applied data mining experience in disciplines Call Centre Metrics. Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems. Demonstrated experience with Business Intelligence/Data Mining tools to work with data, investigate anomalies, construct data sets, and build models. Hands-on experience in SQL querying required Six Sigma / Lean / Business Excellence experience is a plus Functional Skills and Competencies: Understands advanced project management techniques and knows how to implement these techniques. Excellent skills in any data analysis tool and strong SQL database access and usage skills. Understands and knows R programming, statistical analysis, and machine learning algorithms. Knows how to do large-scale data mining (multi-million-row data sets), reporting and knowledge discovery. Demonstrates strong Excel capabilities, with pivot tables, data tables, excel functions, and scenario modeling. Knows how to work with VBA in EXCEL. Skillful with designing data warehouse and business intelligence architecture including data integration, schema design, data modeling, query optimization, data reporting and visualization. Displays strong research orientation and is familiar with various research methodologies and fundamentals such as Data Collection Methods, Measurement and Scaling Techniques, Sampling Fundamentals, Analysis of Variance and Covariance, Multivariate Analysis Technique, etc.