Moonshot

Social enterprise working to end online harms, applying evidence, ethics and human rights.

Threat Intelligence Analyst, Quantitative Methods

Full TimeRemoteTeam 11-50H1B SponsorCompany SiteLinkedIn

Location

Colorado + 2 moreAll locations: Colorado, District of Columbia, Washington

Posted

37 days ago

Salary

$60K - $78K / year

Bachelor Degree1 yr expEnglishFlashPythonTableau

Job Description

• Continuous monitoring of TV-relevant online spaces to identify threats toward public officials, vulnerable communities, and critical infrastructure • Drafting weekly intelligence reports and flash bulletins with clear evidence-based sections and analytical assessments • Identification, collection and analysis of information from a range of data sources, including social media, violent extremist materials and other data sources covered by our in-house tools. • Maintaining databases and conducting regular reviews of social media and messaging platforms for inclusion into the project. • Designing quantitative and qualitative research methods to collect and analyze large datasets. • Researching and drafting deep dives into trends and themes identified in online extremist ecosystems. • Working to demanding, high-tempo reporting schedules for clients. • Developing and sharing subject matter expertise related to violent extremism and online harms across the organization. • Presenting findings verbally to clients, tailoring the content to their needs to support their strategic understanding. • Anticipating potential barriers to the delivery of the project and identifying workable solutions; taking responsibility for improvements to processes. • Building relationships with clients, and supporting our business development by exploring and identifying opportunities for new projects of work that will be of interest to them.

Job Requirements

  • Intermediate-to-advanced quantitative skills and/or qualifications in quantitative methods for social science, including data visualization, Python, Tableau/Kibana visualization or other data analysis tool sets. Python skills in particular, with demonstrated experience in analyzing large datasets, will be a distinct advantage.
  • Professional experience involving analysis and investigation using open-source research and OSINT methods.
  • Strong analytical writing with ability to distinguish between evidence and assessment.
  • Comfort working with content depicting violence and harassment.
  • An ability to problem solve, troubleshoot and develop innovative solutions to complex research issues.
  • Ability to scan large volumes of data and identify the most valuable pieces of information.
  • A demonstrable ability to work under strict timelines, take action and get things done, both in managing your own workload and as a part of a team.
  • Excellent team working skills with the ability to collaborate effectively and respond flexibly to challenges.
  • Excellent written, verbal and interpersonal communication skills.
  • Relevant professional or research experience in countering violent extremism, targeted violence, or other online harms.
  • Familiarity with threat assessment frameworks.
  • Background covering political violence, security studies, or related field.
  • Understanding of different ideological threat landscapes.
  • Experience working with social listening tools.
  • Fluency in languages other than English, particularly Arabic.

Benefits

  • 15 days paid vacation leave, plus Federal holidays and 1 day additional paid leave for Native American Heritage Day.
  • Flexible public holiday policy with the option to work federal holidays in exchange for a day off at another time.
  • Full private healthcare package, including coverage for partners and children.
  • Dental & Vision Insurance.
  • Life & Disability Insurance.
  • 24/7 access to free counseling via our Employee Assistance Program.
  • 3% matched 401k contributions.
  • Generous maternity and paternity leave: 26 weeks paid maternity leave, 8 weeks paid paternity leave.
  • All permanent employees are granted share options upon employment.

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