Degree in Statistics, Computing, Information Management, Information Technology, Mathematics, or related field
DUTIES AND RESPONSIBILITES
Processing, cleansing, and verifying the integrity of data used for analysis
Display systematic thought in identifying, analyzing and interpreting trends and patterns in complex data sets
Deliver well-organized reports and dashboards using Tableu, SQL querying etc...
Proper MS Excel skills
Implement statistical and data mining techniques, e.g., hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, figures and other relevant information
Deploy machine learning methodologies algorithms to build data products that streamline the processes
Take on projects to improve processes (e.g., research new trends in data analytics]
QUALIFICATIONS AND REQUIREMENTS
Degree in Statistics, Computing, Information Management, Information Technology, Mathematics, or related field
Knowledge of R, Python and database querying (SQL, etc.); familiarity with business intelligence tools (e.g. Tableau, Shiny)
Good applied statistics skills, such as distributions, statistical testing, regression, etc