+ JOB OVERVIEW
- You play a critical role in ensuring that the Financial business expert has the key data it needs to make critical business decisions that drive the strategy and direction of the organization. Your skills in quickly understanding key business concepts in Consumer Finance will enable you to successfully meet the challenges of mining and aggregating data from multiple sources into the organizations data warehouse. - You should have a firm grasp of BI implementation methodologies and have had in-depth experience with at least one License BI Suites (Oracle, Microsoft, IBM, others) or Open Source BI Suites (Pentaho, others). You have an analytic tool approach to solving business requirements which enables increased collaboration with the business data analysts. - The right individual should possess experience in all development stages of BI and Data Warehouse project work from working with the data analysts to understanding the business requirements, being involved in the implementing the technical solution and supporting the business team to verify the outcome meets the business requirements. - You should have practical experience in advance data analytic to work with BI Team to deliver AI & ML Projects to meet Business demands on developing Predictive Modeling, Customer Segmentation Analysis, …
+ KEY RESPONSIBILITIES
- Ability to develop insightful business conclusions in Consumer Finance and generate data and reporting solutions to optimize and address the business needs.
- Ability to develop rich and interactive business intelligence reports/dashboards.
- Ability to develop models with advanced data visualization that identify and forecast trends and cause-effect relationships, lead to recommendations, and measurably maximize operational efficiency.
- Experience with at least one of Data Analytic Tool (SAS, SPSS) or AI & ML suites (IBM Cloud Private Data, Microsoft Azure Machine Learning Studio, …)
- Experience in managing team and delivering on the scheduled.
- Ability to write efficient SQL queries and tune/evaluate their performance.
- Experience with the use of DAX (Data Analysis Expression).
- Experience with developing mobile business intelligence application is preferred.
- Build and update relevant technical documentation.
- Understanding of data integration issues (validation and cleaning), familiarity with complex data and structures.
- Ability to work on data design/data modeling, well understanding of Dimensional Data Modelling concepts.
- Experience with any of the following languages R, Python, Java is preferred.
- Experience with any of the following databases NoSQL, MongoDB, HBase, Cassandra, Hadoop is preferred.