Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques
Examines and identifies data patterns and trends to help answer business questions and improve decision making
Provides inputs for complex Data Science and Big Data Mining projects
Identifies areas to increase efficiency and automation of data analysis processes
Design and implement corporate Power BI solutions interfacing with Azure services such as Azure SQL Database, Azure Synapse and Azure Data Lake Storage
Develop and maintain Service Now data to enact DnA solutions
Understand and help maintain corporate Denodo architecture
Create and maintain Denodo metadata
Understand business objectives, define performance metrics and drive data-driven strategies to achieve them
Work cross-functionally to support multiple key stakeholders and provide insights
Work with the DnA Team and Business users to create Business Intelligence visualizations
Evaluate ServiceNow issues to identify and recommend solutions to strategic DnA issues
Perform complex data analysis, identify the root cause of system and process issues, and develop solutions
Assess the end-to-end process and identify opportunities for enhancement; develop dashboards and report insights
Define objectives per business requirements; assist business analysts, data analysts, and data scientists in analyzing the data

Experience in large-scale datasets, analysing data to solve business problems, and presenting impactful insights to all levels of a corporate hierarchy
Knowledge of SQL and NoSQL tools used in data modelling and data mining processes
Experience in data warehousing and understanding of data extraction techniques like ETL processing
Ability to collaborate with multiple business partners and thrive in a fast-paced environment
Interpret insights from quantitative and qualitative data.
Technical leadership to mentor other analysts to ensure best practices.
Bachelor’s degree in Computer Science, Business Informatics, Mathematics or similar field

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions

Data Analyst I

Key skills