Cybersecurity Analytics Developer

Lafayette Group is seeking experienced professionals to provide advanced consulting support for federal cybersecurity programs. The Cybersecurity Analytics Developer supports data‑informed decision‑making across the client enterprise by delivering thought‑leadership, technical support, and data analytics services across a broad portfolio of cybersecurity and risk management programs. This position is ideal for candidates with a blend of experience in cybersecurity, large data set analysis, data science, and strong consulting skills.

Typical daily responsibilities include developing and refining requirements for data collection and analysis, conducting and presenting data analysis, translating datasets into actionable insights for stakeholders, and working with internal and external stakeholders to understand their data needs.

• Leverage analytical skills and Python, SQL, Apache Spark knowledge to query and optimize data pipelines.
• Query and integrate structured and unstructured datasets (Postgre
  
  SQL, Python: Pandas, Num Py) to ensure data integrity and uncover actionable insights.
• Provide thought‑leadership and analysis on the effectiveness of cyber risk campaigns across partner engagements; align with clients' goals and emerging data sources.
• Analyze and manage diverse cybersecurity and risk data sets to improve federal and national risk insights; understand how partner organizations receive and use information from the client to drive down cyber risk.
• Correlate multiple data sets to generate cyber incident context, products, and discussion points for stakeholders; support communication of complex data to a variety of audiences.
• Develop and deliver high‑quality products (reports, briefings, demos, presentations) for data projects, tailored to stakeholder audience.
• Provide reports that organize data analysis in a consumable format for stakeholders, including interactive data visualizations and infographics.
• Provide advice and guidance on data analysis, processing, and data cleansing activities using innovative tools and approaches to organize qualitative and quantitative data for analysis.

• Bachelor's or Masters' degree in computer science, information systems management, mathematics, engineering, or another relevant discipline.
• 6+ years of professional experience in business intelligence, data analytics, or similar roles.
• Experience using business intelligence, decision science, data analysis tools, and machine learning to visualize and turn data into actionable insight.
• Experience generating data products and reports that organize data analysis in a consumable format for a broad range of stakeholders, including interactive data visualizations and infographics.
• Ability to build relationships and network effectively with all levels of staff, including senior leadership; experience briefing senior leadership.
• Excellent analytical and critical thinking skills with an open‑minded, flexible, and curious problem‑solving approach; conceptual and strategic thinking.
• Excellent oral and written communication skills; ability to clearly communicate technical concepts to both technical and non‑technical audiences.
• Ability to elicit and shape work requirements based on higher‑level objectives.
• Thought‑leadership and influence through consultative, analytical, and technical planning skills.
• Initiative to work independently while maintaining excellent communication with project leadership.
• Active TS security clearance and SCI eligibility; US citizenship with the ability to obtain and maintain DHS Suitability (EOD).

• Prior consulting or program support experience with DHS, CISA, or other federal cybersecurity organizations.
• Experience with AI tools, technologies, and frameworks such as Sage Maker, PyTorch, Tensor Flow, Glue, Databricks, Elasticsearch, Azure AI, Pandas, Num Py, Jupyter Notebook; ability to articulate proper uses, pros, cons, and lessons learned.
• Demonstrated knowledge or implementation experience in data science, including natural language processing, machine learning, Bayesian thinking, or advanced mathematics.
• Knowledge of or implementation experience in cyber risk…