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Open Source Intelligence Analyst Jobs in Princeton, NJ

The Business Intelligence Analyst will own critical analytics used to drive subscription growth ... source, referrer, and campaign over time. * Familiarity with customer data and marketing platforms ...

GSOC Analyst

New Brunswick, NJ · On-site

$60 - $80/hr

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... incident analysis. * Control Risks offers a competitively positioned compensation and benefits ...

GSOC Analyst

New Brunswick, NJ · On-site

$70K - $80K/yr

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

GSOC Analyst

New Brunswick, NJ · On-site

$70K - $80K/yr

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... analysis. Benefits * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... incident analysis. * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... incident analysis. * Control Risks offers a competitively positioned compensation and benefits ...

Conduct regular monitoring of open-source intelligence, social media platforms and client specific ... incident analysis. * Control Risks offers a competitively positioned compensation and benefits ...

Showing results 21-40

Open Source Intelligence Analyst information

See Princeton, NJ salary details

$53.9K

$104.3K

$154.9K

How much do open source intelligence analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for open source intelligence analyst in Princeton, NJ is $104,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $130,100.00 per year, depending on experience, location, and employer.

What does an Open Source Intelligence Analyst do?

An Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available data from sources like social media, news articles, forums, and government reports. They identify threats, investigate persons of interest, or support decision-making for organizations, law enforcement, or national security agencies. OSINT Analysts use specialized tools and techniques to gather, verify, and assess information while ensuring ethical and legal compliance. Their work helps organizations mitigate risks, track emerging trends, and enhance situational awareness.

What are the key skills and qualifications needed to thrive as an Open Source Intelligence Analyst?

To thrive as an Open Source Intelligence Analyst, you need strong analytical skills, attention to detail, and a solid understanding of information gathering and verification, typically supported by a relevant degree in intelligence studies, cybersecurity, or a related field. Experience with technical tools such as Maltego, Palantir, social media monitoring platforms, and certifications like Certified Cyber Intelligence Professional (CCIP) are highly valuable. Excellent critical thinking, written and verbal communication, and the ability to work independently or in teams are important soft skills. These competencies are crucial to accurately collect, assess, and present actionable intelligence from diverse open-source materials in support of organizational goals.

What cities near Princeton, NJ are hiring for Open Source Intelligence Analyst jobs?

Cities near Princeton, NJ with the most Open Source Intelligence Analyst job openings:

Infographic showing various Open Source Intelligence Analyst job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $103,378 per year, or $49.7 per hour.

Business Intelligence Analyst

Fortune

New York, NY • On-site

$60 - $110/hr

Full-time

Posted 4 days ago


Job description

The Business Intelligence Analyst will own critical analytics used to drive subscription growth, retention, and revenue optimization. This role partners closely with Marketing, Product, and Finance to turn complex subscriber, traffic, and revenue data into clear, actionable insights that inform strategy and day-to-day decision making.
Responsibilities
  • Support subscription revenue forecasting and budget modeling, including analysis of how offer mix across monthly, annual, trial, discount, and promotional plans impacts recognized revenue, cash flow timing, and long-range revenue planning.

  • Build and maintain retention analyses by cohort to understand the impact of value propositions and pricing changes on subscriber retention and revenue over time.

  • Develop and operationalize lifetime value (LTV) models for current and new subscription offers, including the ability to size new offers using a retention model and projected LTVs.

  • Analyze advertising revenue by cohort and traffic referrer to illuminate how different acquisition sources and campaigns perform over the customer lifecycle.

  • Create, QA, and document logic for key funnel and behavioral metrics, ensuring all stakeholder teams can reliably use and interpret the outputs.

  • Partner with lifecycle, growth, and product teams to translate business questions into clearly defined analytical requirements, then deliver dashboards, reports, and presentations that drive decisions.

  • Partner with data engineering to define requirements for consistent user identifiers, event taxonomies, and attribution rules, and then validate that these data sets support the analytics use cases above.

  • Proactively identify data quality issues, define remediation approaches, and advocate for improvements that increase trust in BI outputs.

  • Communicate complex analytical findings in simple, non-technical language, including recommended actions and expected business impact.

Required Skills and Experience
  • Proven experience in a Business Intelligence, Analytics, or Data Science role supporting a subscription, digital media, or e-commerce business.

  • Deep hands-on experience with cohort-based retention analysis, including interpreting the impact of pricing and value proposition changes on retention and revenue.

  • Demonstrated ability to design and implement LTV methodologies (top-down and/or bottom-up) that support forecasting, offer testing, and portfolio optimization.

  • Deep experience with subscription revenue forecasting and budget planning, including the ability to model how different offer types, billing cadences, and promotional structures affect recognized revenue over time.

  • Proficiency with a BI/visualization tool (e.g., Looker, Tableau, Power BI, Mode) to build dashboards and self-service reporting for non-technical stakeholders.

  • Ability to translate ambiguous business questions into concrete analytical plans, including defining metrics, cohorts, and success criteria.

  • Strong communication skills, including experience presenting findings and recommendations to cross-functional stakeholders and leadership.

Nice to Have
  • Experience with subscription analytics in publishing, news, or digital magazines (e.g., paywall funnels, trial optimization, cross-platform engagement).

  • Understanding of digital advertising and marketing attribution, with specific experience analyzing performance by traffic source, referrer, and campaign over time.

  • Familiarity with customer data and marketing platforms (e.g., Salesforce Marketing Cloud, Iterable, Piano, Recurly, or similar tools).

  • Knowledge of statistical methods for experiment design and analysis (A/B testing, incrementality, causal inference).

  • Experience working with customer journey/event data for funnel analysis, churn modeling, or personalization.

  • Comfort with a scripting language (e.g., Python or R) for more advanced modeling or automation.

Who You Are
  • You are a structured thinker who enjoys working from first principles and building analytic frameworks that can scale.

  • You balance rigor with pragmatism and know when to ship a directional answer versus when to invest in deeper modeling.

  • You can move fluidly between the details (SQL, fields, and joins) and the bigger picture (what this means for the business and what to do about it).

Compensation: $60-$110 per hour, commensurate with relevant experience. This is a fixed-term contract engagement, with hours and duration determined based on project needs.