Noblis
Responsibilities Noblis is seeking a Data Analyst to work in 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. Job Responsibilities: Data Architecture & Processing:
- 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.
- Conduct both quantitative and qualitative analysis to ensure accurate forecasting and classification.
- Create and optimize automated processes for data analysis and model deployment.
- Work with cross-discipline teams to ensure connectivity between various databases and systems.
- Collaborate with stakeholders to identify data visualization requirements and business needs.
- Act as a liaison between technical teams and business stakeholders.
- Support strategic decision-making through detailed analysis and recommendations.
- Identify meaningful insights and interpret and communicate findings and recommendations to stakeholders.
- Develop information tools, algorithms, dashboards, and queries to monitor and improve business performance.
- Create clear and compelling data visualizations to communicate complex findings.
- Present technical findings to non-technical audiences effectively.
- Maintain awareness of emerging analytics and big-data technologies.
- Evaluate and implement new tools and technologies to enhance analytical capabilities.
- Develop standards of operation for handling and archiving data.
- Ensure data quality, governance, and compliance with organizational standards.
- Must be a U.S. citizen and have an active Top Secret Clearance with SCI and CI Polygraph.
- BA/BS degree with 5+ years of prior relevant experience OR Master's degree with 3+ years of prior relevant of experience.
- 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.
- Excellent problem-solving and analytical thinking abilities.
- Experience with data mining and advanced analytics techniques.
- Ability to model complex business problems and develop innovative solutions.
- Excellent written and verbal communication skills.
- Ability to work effectively with cross-discipline teams.
- Strong presentation skills for communicating technical concepts to diverse audiences.
- Team leadership and collaboration capabilities.
- Ability to enable data-driven decision making across all business functions.
- Ability to optimize operations and improving customer experiences through advanced analytics.
- Ability to identify new opportunities and insights through sophisticated modeling techniques.