Data Analyst

International SOS

Data Analyst responsible for data reporting, modeling, and analysis at International SOS. Enhancing decision-making with accurate data insights and strategic solutions.

Posted 7/18/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analytics, including advanced Data Modeling, Statistical Analysis, and Data Visualization using Power BI. Proficient in SQL, Python, and R, with a strong focus on delivering data-driven insights and solutions to support business objectives.

Highest-signal resume keywords

Data ModelingStatistical AnalysisPower BI PremiumSQL ProgrammingMachine Learning Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData VisualizationStatistical AnalysisData ModelingMachine LearningData Pipeline IntegrationData GovernanceData Security ControlsPredictive ModelingData Automation

Soft Skills

Effective CommunicationInterpersonal SkillsProactive Problem SolvingTeam CollaborationForward Thinking

Tools & Technologies

Power BIMS SQL Server Reporting Services (SSRS)Data DashboardsData Reporting SystemsData Automation Systems

Certifications & Qualifications

Relevant Tools CertificationsData Analytics Certifications

Industry Keywords

Business IntelligenceData GovernanceData ArchitectureData Quality StandardsContract Deliverables

Tech Stack

Tools & technologies

MS SQL ServerPythonSQL

About the role

Key responsibilities & impact

The Data Analyst is responsible for creating & providing correct, accurate & complete data, reporting, modeling, presentation & analysis that support business objectives.
The candidate will provide effective recommended solutions in data sets, converting insights into strategic solutions & options that lead to & support high-quality, data-driven decision making.
Ability to problem solve complex reporting scenarios.
Proactive in causing the Data Analytics Team in achieving timelines for submissions of CDRL’s, ADHOC reporting’s, Invoicing data.
Creates, documents, & maintains analytical Dashboards in alignment with contractual requirements.
Applies quality controls and departmental standards to ensure quality standards, organizational expectations, and audit requirements are achieved.
Ensure accuracy of data & deliverables of Analytics Team deliverables applying comprehensive controls, policies and processes with attention to all technical aspects.
Develop & maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
Analyzes business functions & key operations performance metrics.
Utilizes advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.
Examine, interprets & reports results of analytical initiatives to stakeholders customizing your written & verbal communication to your audience.
Optimizes processes for data intake, validation, mining & engineering as well as modeling, visualization, and communication deliverables.
In collaboration with leadership, champion & cause One Team Culture to come to life within the team.
Develops and managing business intelligence solutions (MS SQL Server Reporting Services (SSRS) and Power BI) for the organization.
Supports the delivery of reporting contract deliverables to the Client.

Requirements

What you’ll need

Minimum of 2 to 5 years of professional experience in data analytics or a related field.
Proficient in AI Business Intelligence, Machine Learning, Data Architecture, Data Pipeline / integration, Data Medeling, Governance and Security / Controls.
Proficient in statistical analysis, data modeling, and machine learning techniques.
High level of proficiency in data visualization within Power BI Premium.
Proficiency in programming languages SQL, Python, R.
Effective communication and interpersonal skills with the ability to convey complex findings to both technical and non-technical audiences.
Proactive forward thinker focused on delivering exceptional results.
Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
Certifications in relevant; tools, technologies, and best practices.

Benefits

Comp & perks

Health insurance
Professional development opportunities