What is a modeling analyst?

Modeling analyst corresponds to CDA level 2 modeling analyst exam. They usually play the role of data engineers. Mainly rely on their own software engineering experience to deal with large-scale, massive data. They usually focus on coding, cleaning up data sets and fulfilling the requests of data scientists. They usually know all kinds of programming languages from Python to Java. When someone gets a prediction model from a data scientist and implements it in code, the salary you can get: As a data engineer, modeling analyst plays a very important role in data science, and the monthly salary is generally 15k-25k. Contents to be mastered: theoretical basis: statistics, probability theory and mathematical statistics, multivariate statistical analysis, time series, data mining (DM) software requirements: necessary Excel and SQL；; Optional business analysis capabilities such as SPSS MODELER, R, Python and SAS: data can transform business objectives into data analysis objectives; Familiar with common algorithms and data structures, familiar with enterprise database architecture construction; According to different analysis subjects, we can skillfully analyze dimensions and collect and extract information from massive data; Through the relevant data analysis methods, combined with one or more data analysis software to complete the processing and analysis of massive data. Ability to show results: The report reflects the whole process of data mining, and expounds information collection, model construction, result verification and interpretation, and evaluates, optimizes and makes decisions on the industry.