Must Have Skills:
1.Familiar with SQL / Hive;
2.Basic knowledge in machine learning model;
3.Basic knowledge in mathematics / statistics;
4.Basic knowledge in engineering.
Individual Accountabilities:
1.Determine the source of the data, coordinate extraction and acquisition
2.Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
3.Assess data quality, identify gaps in the data and eliminate irrelevant data
4.Provide summary statistics of key performance metrics and other measures deemed significant business units
5.Perform multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques
6.Apply advanced analytics techniques to reveal actionable insights and drive revenue or efficiency campaigns
7.Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Qlikview)
8.Coordinate and manage data analytics activities with stakeholders
9.Support ad-hoc requests for data analysis from stakeholders
Job Requirements:
1.Bchelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields. University graduates are encouraged to apply.
2.Up to 5 years work experience in related fields is an advantage but not required
3.Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting
4.Knowledge of R, Python, SAS, Stata, Matlab, SPSS or other related statistical packages
5.Knowledge of machine learning/predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc.
6.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
7.Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions
8.Knowledge of Microsoft SQL and other relational databases preferred but not required
9.Excellent oral and written communication skills
10.Strong analytical and problem solving skills
11.Highly collaborative and results-oriented