Developer - Mastery

Location: Hybrid – Boston, MA;
Springfield, MA; or New York City, NY
Contract: 12 months
Pay Rate: $85/hour W-2

We are seeking an experienced Data Analytics & Visualization Specialist with a strong focus on cybersecurity to support data-driven decision‑making and risk management initiatives. This role will develop actionable dashboards, perform advanced analytics, and transform complex cybersecurity data into meaningful insights for technical and business stakeholders.

The ideal candidate combines strong data visualization and analytical skills with an understanding of cybersecurity concepts, enterprise data environments, and risk management frameworks.

• Develop and maintain interactive dashboards and visual reports using Tableau, Power BI, or similar tools to support cybersecurity analytics and risk management.

• Partner with cybersecurity stakeholders to gather requirements and translate business needs into analytical solutions, metrics, data models, and visualizations.

• Perform advanced data analysis, including statistical analysis and predictive modeling, to identify trends, assess cyber risk, and support strategic decision‑making.

• Integrate, evaluate, and validate data from multiple sources, including data lakes, warehouses, and other enterprise data platforms.

• Use Python or similar programming languages to assess data feasibility, transform data, and prepare datasets for cybersecurity use cases.

• Communicate complex technical findings in clear, business‑focused terms to non‑technical stakeholders.

• Stay current with emerging trends, tools, and best practices in cybersecurity analytics, data visualization, and risk management.

• Bachelor’s degree in Data Analytics, Computer Science, Cybersecurity, or a related field.

• Demonstrated experience in data analytics, particularly supporting cybersecurity use cases.

• Proficiency with data visualization tools such as Tableau and Power BI.

• Strong understanding of cybersecurity concepts, data privacy, and data protection practices.

• Experience using Python or similar programming languages for data analysis, transformation, and feasibility assessments.

• Familiarity with enterprise data environments, including data lakes, data warehouses, and other data storage systems.

• Experience with predictive modeling, statistical analysis, or other advanced analytics techniques.

• Strong communication and collaboration skills, with the ability to present complex findings to diverse audiences.

• Experience working with the NIST Cybersecurity Framework and MITRE ATT&CK framework.

• Knowledge of enterprise data architecture concepts and best practices.

• Experience developing actionable visual reports and dashboards for cybersecurity and risk management initiatives.