Senior Mobile Analytics Developer

Nyla Technology Solutions•Annapolis Junction, MD

2d•$181,000 - $214,000

About The Position

The Analytics Developer serves as an Access Discovery and Enablement Analyst within the program under the NESCAA TFO initiative (Office X33). The role involves deep-dive data analysis, mobile application characterization, and operational access discovery across complex target environments. The developer uses advanced Python scripting, Jupyter Notebooks, and customer platforms such as DX to transform high-volume data streams into actionable operational vectors, metrics, and visual analytics. An active TS/SCI clearance with a polygraph is required. The annual base salary range is $181,000–$214,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

Active TS/SCI security clearance with a polygraph.
Bachelor’s degree in Cyber Security, Computer Science, Computer Engineering, or a related technical discipline, plus 7 or more years of professional experience in cyber operations, network analysis, or data engineering; or a master’s degree in a related field plus 5 or more years of relevant professional experience; or a high school diploma/GED plus 11 or more years of specialized technical experience in lieu of a degree.
Experience or skills in operational targeting, access discovery, and vector identification.
Experience analyzing mobile application behaviors, protocols, telemetry, and data structures.
Ability to build dashboards and use data visualization tools to summarize complex data and operational findings.
Ability to develop Python scripts and pipelines and use Jupyter Notebooks for analytic workflows and data parsing.
Experience using DX frameworks for data queries, filtering, and cross-source analysis.

Nice To Haves

Working knowledge of or experience with C++ for low-level data parsing or application analysis.
Experience processing large-scale distributed datasets or working with big data analytics pipelines.
Familiarity with mobile operating system internals, including Android and iOS, and associated network traffic.

Responsibilities

Conduct operational targeting, access discovery, and vector identification to support mission enablement objectives.
Analyze mobile application behaviors, protocols, telemetry, and data structures to identify signatures and operational characteristics.
Build custom dashboards and use data visualization tools to aggregate complex datasets, track key metrics, and summarize operational findings for stakeholders.
Develop custom scripts and pipelines using Python and Jupyter Notebooks to automate routine analytic workflows, parse data, and accelerate discovery cycles.
Use DX frameworks to perform targeted data queries, filtering, and cross-source analysis.