Responsibilities

® Determine the source of the data, coordinate extraction and acquisition

® Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources

® Assess data quality, identify gaps in the data and eliminate irrelevant data

® Provide summary statistics of key performance metrics and other measures deemed significant business units

® Perform multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques

® Apply advanced analytics techniques to reveal actionable insights and drive revenue or efficiency campaigns

® Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Qlikview)

® Coordinate and manage data analytics activities with stakeholders

® Support ad-hoc requests for data analysis from stakeholders

Qualifications

® Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields. University graduates are encouraged to apply.

® Up to 5 years work experience in related fields is an advantage but not required

® Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting

® Knowledge of R, Python, SAS, Stata, Matlab, SPSS or other related statistical packages

® Knowledge of machine learning/predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc.

® Knowledge of evaluating success of predictive models, both for classification (e.g. Percent Correct Classification, confusion matrix, lift, gain, Receiver Operating Characteristic and Area Under the Curve) and continuous (R-squared, average error, mean squared error, median error, average absolute error, median absolute error) models

® Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions

® Knowledge of Microsoft SQL and other relational databases preferred but not required

® Excellent oral and written communication skills

® Strong analytical and problem solving skills

® Highly collaborative and results-oriented

上班地址：高新区天府软件园