(Sr.) Services Analyst

Position Description

The Services team at Sayari has mastered the use of public data in complex investigations and supply chain screening — and ensures that our customers can do the same. Services Analysts are first and foremost expert analytical practitioners. They thrive on tackling difficult investigations, uncovering critical risk insights, and delivering high-quality, well-structured analytical products that directly serve customer missions.

But Services Analysts are also intuitive communicators and trusted advisors. They ensure that our customers — whether government agencies managing national security priorities or multinational corporations navigating global trade risk — can successfully leverage Sayari products to achieve their objectives. Success is measured by the quality of analytical deliverables, SLA adherence, customer satisfaction, and the growth of engagement within accounts.

Job Responsibilities

• Become a trusted partner for customers, helping them leverage Sayari products and expertise to analyze and measure their exposure to global business partner, supply chain, and investigative risk
• Create, deliver, and brief compliance reports, case analyses, and investigative deliverables to customer stakeholders — across L1, L2, and L3 report types as applicable
• Ensure compliance with established policies and procedures while conducting screening, adjudication support, and QA on analytical outputs
• Design and deliver customer training sessions and collaborative workshops; adapt select content for public audiences
• Maintain expertise and develop novel approaches to address critical and emerging priorities of Sayari's customers
• Develop and apply AI prompt engineering techniques to drive efficiency and quality in analytical reporting workflows
• Provide timely, high-quality support to clients across a range of challenges — from entity-level risk assessment to supply chain screening and detention response
• Coordinate with the Revenue team to identify and pursue opportunities to expand Sayari's engagements within accounts
• Serve as an in-house super-user of Sayari's products, surfacing actionable product feedback to the Product and Engineering teams

Skills & Experience

Required

• Analytical foundation: 3–5+ years of experience conducting supply chain risk screening, trade compliance, export controls, sanctions, financial crime analysis, open-source investigations, or related work — examples include compliance officer, intelligence analyst, investigative journalist, customs broker, import/export compliance specialist (relevant education may count toward experience)
• Analytical writing: very strong written communication skills; able to produce clear, accurate, structured reports under tight deadlines with exceptional attention to detail
• Customer communication: 2–4+ years of proven success in customer interactions and briefings — equally confident with prepared remarks and extemporaneous Q&A
• Project management: ability to plan and manage projects independently, prioritize competing demands, and deliver to a high standard
• Regulatory familiarity: familiar with global regulations relevant to Sayari customers — import/export, third-party risk, ESG, sanctions, anti-bribery/anti-corruption

Preferred

• Professional fluency in one or more priority languages: Spanish, Arabic, Russian, Chinese, or French
• Regional analytic expertise: Latin America, Asia, Middle East, Africa, Eastern Europe
• Experience with AI prompt engineering and applying AI tools to analytical or reporting workflows
• Familiarity with graph-based analysis software (e.g., Sayari, IBM i2) or OSINT tools (e.g., LexisNexis, PACER)
• Knowledge of global regulations relevant to Sayari customers: import/export, third-party risk, ESG, sanctions, anti-bribery/anti-corruption
• SQL or Python experience
• Experience with AI prompt engineering activities
• Previous use of Sayari Graph or similar graph-based software (e.g., IBM i2)

The target base salary for this position is $100000-$120000 plus commission and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above.

Benefits: