Data Analytics & AI Insights Specialist

International SOS; San Antonio (TX); On-site; USD 65,000 - 95,000; Full time

Job summary

International SOS is seeking a Data Analyst to build and maintain dashboards, data models, and reporting systems that support business objectives. You will translate analytics into actionable recommendations, collaborate across teams, and contribute to data-driven decision making.

The role emphasizes statistical methods, data visualization, and effective communication with stakeholders to uphold data quality and drive operational efficiency.

Qualifications

• Minimum 2–5 years of professional experience in data analytics or a related field.
• Strong skills in data modeling, data governance and data quality.
• Proficient in SQL and data visualization with Power BI.
• Experience with AI-enabled analytics and machine learning concepts.
• Excellent written and verbal communication for stakeholders.

Responsibilities

• Create, document, and maintain analytical dashboards aligned with contract requirements.
• Develop data models and reporting systems to support business decisions.
• Analyze business functions and performance metrics for insights.
• Prepare data for AI modeling and interpret AI outputs for leadership.
• Collaborate with leadership to drive data-driven decision making.

Skills

Data modeling

Data analysis

Data visualization

MS SQL Server

DAX

T-SQL

Python

R

Power BI

AI/ML tooling

SQL proficiency

Stakeholder communication

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science

Tools

SSRS

Power BI

Databricks

Python

R

SQL Server

Job description

International SOS is seeking a Data Analyst to build and maintain dashboards, data models, and reporting systems that support business objectives. You will translate analytics into actionable recommendations, collaborate across teams, and contribute to data-driven decision making.

The role emphasizes statistical methods, data visualization, and effective communication with stakeholders to uphold data quality and drive operational efficiency.