Data Analyst

Responsibilities:

• Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.
• Demonstrate the ability to derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.
• Ability to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.
• Possess the ability to work in teams and independently.
• Develop AI/ML models to enrich data providing further utility to the analysts.
• Conducts complex data assessments to determine operational utility of proposed data sets in answering priority intelligence requirements.
• Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools.

Qualifications:

• Master's degree or bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
• 2+ years of relevant experience in the field
• Demonstrated experience applying data science methods to real-world data problems.
• Demonstrated experience developing and deploying AI/ML in support of decision making.
• Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.

Key Skills:

• Data visualization.
• SQL.
• Communication.
• Machine learning.
• Statistics.
• Critical thinking.
• Data cleansing.
• Excel.