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Cybersecurity Data Analyst (Remote)

AbbVie
Remote
United States
IT

Role Summary

The AbbVie Data Security Response Analyst will support the protection of AbbVie data by daily monitoring of alerts from Data Loss Prevention (DLP) solutions and investigating sensitive data transfers. This role analyzes available telemetry data to determine which events present a potential data loss incident and business impact, escalating to Legal, Human Resources, and the Office of Ethics and Compliance as needed. The role works with Legal and Human Resources to perform DLP remediation to remove AbbVie data from unauthorized locations. This position can be remote anywhere in the U.S.

Responsibilities

  • Monitor DLP information security alerts through the use of available DLP tools to respond, triage, and escalate as needed.
  • Assist Global Legal and Human Resources in processing DLP remediation requests which may include confirming that data is removed from unauthorized locations.
  • Analyze event/alert patterns to properly interpret and prioritize threats with available DLP tools and other data protection devices.
  • Identify trends and drive requirements aimed at improving and enhancing existing data loss prevention detection policies.
  • Provide support to projects that enhance reporting, workflow, change/incident/problem management.
  • Interface with clients in the strategic design process to translate security and business requirements to improve the efficiency of daily tasks, monitoring, and processes with innovative ideas.
  • Prepare and present formal incident reports; interpret and summarize technical information to a non-technical audience.
  • Assist with resolution of operational Data Loss Prevention technology deployment, implementation, and functional issues.
  • Develop reports and metrics for leadership across BTS, Legal, Human Resources, and Office of Ethics and Compliance.

Qualifications

  • Required: Bachelorโ€™s Degree with 2 years of experience
  • Preferred: Masterโ€™s Degree with no experience
  • Preferred: Experience with SQL, Python, Splunk or SIEM
  • Preferred: Experience with Cybersecurity, Insider Risk and/or Data Loss Prevention
  • Perform routine tasks competently and independently and generate reliable and consistent results.
  • Analyze and critique results, noting significant variances or deviations.
  • Troubleshoot algorithms, protocols, and software programs.
  • Demonstrate skill in multiple techniques and appropriately modify protocols as required to suit changing business needs.
  • Learn and understand new methods and technologies.
  • Place data and results in proper context by consulting relevant literature and other publicly available information.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.