Guide the development of data plans, collaborating closely with various stakeholders including the architecture team, users, and data providers
Establish data quality standards and create data quality control plans, ensuring effective data quality management, tracking, monitoring, and implementing data quality evaluation systems
Utilize advanced analytics, AI, and machine learning techniques to streamline existing data management processes and enhance efficiency
Construct predictive models to address issues and provide insights for informed business decisions
Oversee and manage third-party vendors and consultants to ensure efficient and high-quality deliverables for different data analytics projects
Conduct ad hoc analysis on large and diverse datasets using various tools and techniques, employing a data-driven approach to measure and drive the success of initiatives. Generate actionable insights from analyses.
Requirements:
Bachelor's degree in information technology, computer science, or a related field
Over 6 years of industry experience in Data Management & Analytics, ideally in a similar role as a Solution Architect or Data Architect.
Demonstrate a successful track record in implementing solutions within modern data architecture, Big Data, and/or traditional BI/DW/ETL, encompassing both process and data analytics.
Solid experience of Oracle Cloud, MS Azure, AWS, PowerBI, Tableau, QlikSense, and/or statistical packages such as SAS and Alteryx
Proficient in PL/SQL, Java, Stored Procedures, and Linux/Unix shell.
Excellent written and verbal communication skills to effectively communicate with technical and non-technical parties