Management of data inflow
- Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies; take necessary steps to implement necessary changes in the IT infrastructure such as MDM tool acquisition, data lake design, cloud solutions implementation in coordination with IT and technology coordinator
- Create data tools for analytics and data science team members that assist them in building models by automating and simplifying data preparation
- Translate customer data strategy into actionable data integration plans and execute these plans
- Maintain 360 degree view of customer, enhance the customer datamarts by continuously integrating new sources of data
Data cleansing and unification
- Create automated data anomaly detection systems and constant tracking of its performance
- Process, cleanse, and verify integrity of data used for analysis; active use of built-in data quality dashboard on CDP and coordination of corrective actions
- Develop algorithms to de-duplicate and export customer data from multiple BUs to ensure data unification
- Ensure continuous unification of customer records and associated profile and transactional data
