Required Skills:
- Data Analytics
- Data Science
- Data Visualization
- GitLab
- Jupyter Notebooks
- Python and R Studio
- Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
Day-to-day Responsibilities:
- Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts.
- Design and deliver infographics across a range of media platforms.
- Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools.
- Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages.
- Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to customers and stakeholders.