Senior Data Analyst

Description

We are seeking a Senior Data Analyst to join our team at IVIX. In this role, you will take a pivotal role in bridging advanced analytics with real-world impact across our product and engineering teams, and generate high-quality compliance leads. This is a hands-on, high-ownership role where you will not only work deeply with data but also shape R&D initiatives and directly influence customer success.

About the company

IVIX is the first AI-powered solution designed specifically to address a $20 trillion problem: illuminating the global shadow economy. IVIX leverages Open-Source Intelligence (OSINT) and highly advanced, cutting-edge technologies to reveal illicit business activity around the world, empowering governments in their mission to fight financial crime and close the tax gap.

IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age.

Led by security, tech, tax and financial crime experts, and advised by a diverse team of former IRS commissioners, IVIX works with dozens of state and federal governments globally.

About the postion

• Drive Data-Informed R&D Direction:

Collaborate closely with engineering and product teams to translate data insights into clear, actionable guidance for R&D. Identify opportunities to refine features or develop new capabilities based on evidence from data.

• Lead High-Impact Analytical Projects:

Initiate and execute end-to-end analytics projects that solve strategic challenges or unlock new opportunities. Define goals, establish KPIs, and communicate results effectively to both technical and non-technical stakeholders.

• Mentor and Guide Other Analysts:

Provide guidance and mentorship to other team members, helping them develop both technically and professionally. Establish analytical best practices, and foster a collaborative team culture.

• Collaborate Across Disciplines:

Act as a trusted thought partner to data engineering, product management, and go-to-market teams. Communicate complex findings with clarity, and ensure alignment around metrics and data definitions.

• Participate in delivery of high profile leads to customers.

Requirements

• 5 years experience as a data analyst.
• Proven experience with ownership of cross-team projects.
• Investigative and analytical problem-solving skills.
• Proactive approach.
• SQL and Python proficiency.
• Fluency in English
• MongoDB, Neo4j: big advantage.