Blu Omega is seeking a skilled Senior Data Analyst to drive analytical strategy and deliver impactful insights that support our mission objectives. You will play a critical role in the end-to-end data analysis lifecycle, from gathering and refining requirements to developing advanced analytical models and communicating actionable insights to both technical and non-technical audiences. As part of a dynamic, collaborative team, you will contribute to business innovation, process improvement, and workforce modernization through data-driven solutions.

This person must be open to going onsite 5 days a week and hold an active DoD Secret clearance.

What You’ll Do:

• Lead analytical efforts to support mission operations, from requirements gathering to model evaluation and results communication
• Develop advanced analytical models and data visualizations to measure mission impact and drive strategic decisions
• Identify and integrate disparate data sources; process raw data into structured formats for analysis
• Leverage tools such as Tableau, Power BI, Python, and other data science libraries to conduct exploratory data analysis (EDA), statistical modeling, and data visualization
• Build and maintain scalable AI/ML architectures, ensuring performance, security, documentation, and automation of deployment pipelines
• Mentor junior data professionals, providing guidance, feedback, and oversight to ensure quality and alignment with project goals
• Present findings to stakeholders through tailored briefings, demos, and meetings, bridging the gap between technical analysis and business value
• Contribute to innovation initiatives, continuously improving analytics workflows, tools, and processes

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or a related field (substitutions may be considered for equivalent relevant work experience)
• 5+ years of experience in analytics, data visualization, and data science (e.g., algorithm development, data analysis, NLP, etc.)
• Demonstrated knowledge of advanced data analytics, data visualization, and business intelligence principles, with experience using tools such as Python, R, Tableau, and Power BI
• Proven experience leading the development of advanced analytics products and applying statistical programming to enterprise-level data to support key mission outcomes
• Strong written and verbal communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders

Preferred Qualifications:

• Master’s or advanced degree in Computer Science, Engineering, Mathematics, Data Science, or a related field
• Extensive experience with project management methodologies and innovation/design thinking frameworks
• Strong background in AI/ML algorithm development and deployment
• Exceptional analytical skills with a track record of delivering strategic data-driven recommendations
• Proficiency in advanced analytics tools and languages including Python, R, SQL, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience working in Agile development environments and with associated tools and methodologies
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies such as Hadoop and Spark
• Experience with data engineering processes, including ETL, data integration, and pipeline development
• Understanding of human-centered design principles and UI/UX best practices for data visualization and dashboard development
• Proven ability to architect and implement scalable systems with robust access control and data governance
• Knowledge of DevOps practices for ML (MLOps) and experience with tools like Databricks MLFlow
• Ability to manage multiple projects simultaneously and prioritize competing demands effectively
• Strong problem-solving and strategic thinking capabilities
• Demonstrated commitment to continuous learning and adaptability to new technologies and tools