Data Profiler
Role details
Job location
Tech stack
Job description
MANTECH is seeking a motivated, career and customer-oriented Lead Data Scientist to join our Data and AI Practice onsite in Alexandria, VA. In this role, you will assist in the des…
- 13 hours ago, MANTECH is seeking a motivated, career and customer-oriented Lead Data Scientist to join our Data and AI Practice onsite in Alexandria, VA. In this role, you will assist in the des…
- 1 day ago
Requirements
We are seeking an experienced Data Profiler to support cyber analytics and data analysis initiatives in a secure, mission-driven environment. The ideal candidate will have strong experience working with SIEM tools, cyber telemetry data, and complex data analysis. This role involves data profiling, normalization, correlation, and analysis of large datasets to support cybersecurity and operational decision-making. This position requires strong analytical skills, attention to detail, and the ability to work with complex technical data in an Agile and collaborative environment., U.S. Citizenship required; must be eligible to obtain a security clearance 9+ years of experience in Data Analysis, Cyber Analytics, Data Profiling, or related field Bachelor's degree in a technical discipline (or equivalent experience) Hands-on experience with SIEM tools such as Splunk, Elastic, or similar Experience writing complex queries and analytics using SQL, SPL, Kibana, or Sigma rules Experience with cyber data analysis, monitoring, and reporting Experience with data extraction, transformation, and preparation (ETL) Strong analytical and problem-solving skills with high attention to detail Willingness to obtain required certifications Preferred Qualifications Experience with BDP and/or JCC2 applications Familiarity with log data formats such as JSON, XML Strong understanding of the OSI model and network protocols Experience working with operating systems, network devices, and cybersecurity tools Understanding of data profiling, data cleansing, and normalization techniques Familiarity with data schemas, data models, and ontology concepts Experience with Jupyter Notebooks or AI/ML frameworks Strong communication and technical documentation skills Technical Environment SIEM / Analytics Tools: Splunk, Elastic, Kibana, Sigma Languages / Querying: SQL, SPL Data Types: JSON, XML, Log Data, Cyber Telemetry Concepts: Data Profiling, Normalization, Schema Design, Data Correlation