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Lafayette Group · 1 day ago

Cybersecurity Analytics Developer

DC-Baltimore Area

Full-time

Onsite

Mid, Senior Level

$80K/yr - $130K/yr

6+ years exp

Lafayette Group is seeking experienced professionals to provide advanced consulting support for federal cybersecurity programs. The Cybersecurity Analytics Developer will support data-informed decision-making and provide technical support and data analytics services across a broad portfolio of cybersecurity and risk management programs.

AssociationCyber SecurityGovernmentInformation Technology

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Leverage analytical skills and python, SQL, Apache Spark knowledge to query and optimize data pipelines

Query and integrate structured and unstructured datasets (PostgreSQL, Python: Pandas, NumPy) 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 stakeholders, tailored to the audience

Develop and deliver high-quality products (e.g., 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

Qualification

PythonSQLData analyticsMachine learningData visualizationCybersecurityAnalytical skillsConsulting skillsCommunication skillsCritical thinking

Required

Bachelor's or Masters' degree in computer science, information systems management, mathematics, engineering, or other 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, using a variety of techniques and approaches 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, both internal and on the client site; experience briefing senior leadership

Possession of excellent analytical and critical thinking skills with the ability to remain open-minded, flexible and curious in problem-solving approach; ability to think conceptually and strategically

Possession of excellent oral and written communication skills; demonstrated ability to clearly communicate technical concepts to both technical and non-technical users

Ability to elicit and shape work requirements based on an understanding of higher-level objectives

Ability to provide thought leadership and influence through consultative, analytical, and technical planning skills

Ability to take initiative and 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)

Preferred

Prior consulting or program support experience with DHS, CISA, or other federal cybersecurity organizations

Experience with AI tools, technologies, and frameworks like Sagemaker, Pytorch, TensorFlow, Glue, Databricks, Elasticsearch, Azure AI, Pandas, NumPy, Jupyter Notebook. Must be able to articulate proper uses, pros, cons, and lessons learned

Demonstrated knowledge of or implementation experience in data science, for example, natural language processing, machine learning, Bayesian thinking, or advanced mathematics

Knowledge and experience providing cyber risk reporting and insights following FISMA reporting requirements (Cyberscope & Cyberstat)

Experience supporting engagement or partnership programs in government, critical infrastructure, or cybersecurity-adjacent environments

Experience with federal compliance requirements and cybersecurity frameworks, including NIST Cybersecurity Framework and Risk Management Framework (RMF), with knowledge of government procurement processes and federal regulatory requirements