Noblis is seeking a Data Analyst to work in a dynamic mission-oriented environment within Bethesda, Maryland. A successful data analyst candidate will be responsible for designing and developing comprehensive methods and processes to consolidate and analyze structured and unstructured data from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision-making and business performance.
Requirements
- Proficiency in software programs, algorithms, and querying languages (e.g., SQL, Python, R).
- Experience with Natural Language Processing, Machine Learning, and Predictive modeling.
- Strong foundation in Statistical Analysis and Hypothesis testing.
- Knowledge of big data technologies and platforms.
- Experience with data visualization tools (e.g., Power BI, Tableau, etc.).
- Ability to transform raw data into strategic business intelligence.
- Strong statistical analysis and mathematical skills.
Responsibilities
- Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured data from diverse sources including "big data" sources.
- Develop and use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets.
- Model complex business problems using sophisticated analytical approaches.
- Manage all aspects of end-to-end data processing utilizing customized report building functions.
- Design, develop, and modify data infrastructure to support analytical requirements.
- Apply disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing.
- Develop and implement statistical models and algorithms for predictive analytics.
Other
- Must be a U.S. citizen and have an active Top Secret Clearance with SCI and CI Polygraph.
- Excellent problem-solving and analytical thinking abilities.
- Ability to model complex business problems and develop innovative solutions.
- Excellent written and verbal communication skills.
- Ability to work effectively with cross-discipline teams.
