Produce intelligence outputs to provide an accurate description of the current system performance and system error analysis (False Positives and Efficacy).
Produce actionable intelligence information for delivery to colleagues and customers.
Leverage internal and external resources to research system error scenarios.
Be the owner of data models and their quality.
Work with the team to improve and expand the toolset
Interact with the development, data engineering team, and research co-workers to achieve optimal system performance.
Perform data labeling tasks to improve AI algorithms, identify, analyze, and interpret trends or patterns in complex data sets
Builddashboards with visualization tools
Requirements & Skills:
At least 3 years of experience working with SQL
At least 2 years of experience working with Python (Pandas)
At least 3 years of experience as a Data Analyst working with large-scale data and defining
Writing scripts to analyze big data
Experience in building dashboards with visualization tools
Statistical analysis capabilities used for generating and presenting meaningful conclusions
Ability to analyze and characterize system issues
Ability to achieve quality results
Investigative and analytical problem-solving skills
Critical thinking and contextual analysis abilities
