Conduct day-to-day activities while ensuring compliance to policies and procedures
Contribute to the identification of opportunities for continuous improvement of systems, processes in line with leading practices
Establish working relationships with relevant internal stakeholders
Collect feedback from internal stakeholders on issues being faced and other requirements
Contribute to the preparation of progress reports directed to all relevant stakeholders to keep them informed of progress
Support in the identification of the latest updates in data science and artificial intelligence fields for continuous improvement and innovation at˙
Support in feasibility studies and business cases development for relevant data analysis initiatives and projects
Support in developing technical proposals for data analysis initiatives / projects including detailed description of the proposed work and resources required
Participate in workshops with concerned stakeholders to identify business needs, project scope and problem statement, and request clarifications as needed˙i
Identify and secure needed data from relevant sources and establish interfaces when needed to facilitate complex data extraction
Request data access permissions as needed and follow up on unavailable / incomplete data sets to ensure data readiness in a timely manner and according to pre-defined plans
Design standardized and customized reporting dashboards and databases based on the relevant data pipelines and identified requirements
Build complex data sets from multiple sources through data cleansing and integration into dashboards to facilitate downstream data activities˙
Perform complex data mining, utilize APIs and build ETL pipelines to identify trends and patterns in large data sets
Develop and test models and machine learning algorithms based on in-depth understanding of underlying data, data structures, and business needs
Apply machine learning techniques to the data to identify the model that best fits requirements and expectations, and tune the model accordingly
Monitor deployed models through conducting periodic tests and validation checks
Conduct exploratory and predictive data analyzes to highlight hidden correlations and insights leveraging predictive˙modeling˙
Conduct technical hypothesis testing on all outcomes to ensure extracted insights are accurate and in line with requirements and expectations
Review and consolidate all data analysis and analytics reports, and prepare presentations˙to communicate complex quantitative analyzes leveraging data visualization
