Data Analyst

SOSiEl Paso, TX
Onsite

About The Position

SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused initiatives through the use of advanced public records and data tools, including LexisNexis, CLEAR, and other open-source intelligence (OSINT) platforms. The analyst will be responsible for collecting, analyzing, and interpreting large sets of data from a variety of public, proprietary, and commercial sources to support internal investigations, due diligence, risk assessments, and reporting needs.

Requirements

  • 2+ years of experience in data analysis, investigations, or research using public records and investigative databases.
  • Proficient in LexisNexis, CLEAR, or similar tools used for investigative or due diligence purposes.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to summarize complex findings for non-technical audiences.
  • High attention to detail and accuracy in data interpretation and reporting.

Nice To Haves

  • Familiarity with relevant laws and guidelines related to public records, privacy, and compliance (e.g., FCRA, GLBA) is a plus.

Responsibilities

  • Conduct comprehensive data research and analysis using LexisNexis, Thomson Reuters CLEAR, and other data platforms to gather public records, legal filings, business affiliations, and background information.
  • Identify, validate, and analyze patterns, trends, and anomalies within datasets related to individuals, entities, transactions, or events.
  • Prepare clear, concise, and well-documented reports that communicate findings to internal stakeholders, often under tight deadlines.
  • Support due diligence, fraud detection, risk assessment, compliance monitoring, or investigative projects.
  • Collaborate with cross-functional teams (e.g., legal, compliance, audit, investigations, security) to fulfill data and reporting needs.
  • Maintain strict confidentiality and handle sensitive information with a high level of integrity.
  • Ensure the accuracy, relevance, and reliability of information used in decision-making.
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