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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** International SOS - **Location:** San Antonio, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C Sharp (Programming Language), Spreadsheets, Computer Programming, Databases, Data Architecture, Data Cleansing, Data Governance, Data Infrastructure, Data Mining, Data Structures, Data Systems, Data Visualization, Relational Databases, Decision Support Systems, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft SQL Server, Pattern Recognition, Power BI, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, Data Streaming, Tableau (Software), Transact-SQL, Application Enhancement Tool, Build Management, AI Platforms, Semi-structured Data, Information Technology, Data Analytics, Qlikview, Tools for Reporting, Looker Analytics, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0629dbf3bccdd418 ## About the Role * Data modeling and analysis experience. * Data visualization and presentation skills. * Strong knowledge of relational database concepts and structures. * Demonstrable knowledge of MS SQL Server. * Knowledge of DAX, T-SQL, C#, D3, R or Python or any other statistical programming language for advanced analyses and predictive analytics. * Ability to write stored procedures, functions & reporting. * Develop dashboards, data models in Power BI. * Experience working & creating databases, dashboards, reporting using relevant data leading to data driven decision making. * Problem solving, quantitative, qualitative & analytical skills. * Effective communication, collaboration skills. * Experienced using SQL with the ability to perform effective querying involving multiple tables and subqueries. * Working knowledge of Data Mining Principles, Predictive Analytics, Mapping, Collecting Data from Multiple Systems including but not limited to cloud-based data sources. * Ability to extract data, format & present data customizing the data including written & verbal communication to your audience. * Apply data quality standards, ensuring consistency and reliability of data across various platforms. * Experienced using analytics techniques that report correct, accurate & complete information, achieve timelines, including causing a positive impact on the brand of the organization. * Excellent communication and interpersonal skills, with the ability to engage with stakeholders at all levels of the organization. o Collaborate with business leaders to understand their analytical needs and deliver insights that drive strategic decision-making. o Present findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner. * Technical Knowledge across a broad range of digital & data technologies. * AI Powered Business Intelligence: Strong ability to analyze data, generate insights & automate decision making using AI platforms. Example but not limited to Power BI Premium-Copilot, Tableau - Einstein, Looker - Google, Qlik - Sence. * Machine Learning AI: Ability to implement & maintain advanced analytics machine learning platforms. Example: Databricks, Google Vertex, AWS, Azure. * AI Data Structure: Strong ability to organize end to end data architecture for AI / ML use cases, aligning data architecture with the business AI strategy including designing a scalable, reusable AI data platform. * AI Data Pipeline and Integration: Ability to assist in designing and overseeing data ingestion pipelines. Integrate structured, semi structured and unstructured data sets, ensure reliable data flow & cause real time AI self-service tools to provide correct, accurate and complete information. * AI Data Modeling: Design and build data models optimized for AI analytics and ADHOC reporting, governing feature stores and support time-series, graphs, embedded based models. * AI Quality Governance: Ability to define data quality governance, implementing validation, lineage and meta data management including governing labeling within production and process's data. * AI Security, Privacy & AI Responsibility: Strong ability to implement controls specific to data, ensuring compliance, including mitigating bias through data design and governance. Required Work Experience * 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. * Background Check & Screening: Ability to pass required background checks and clearance procedures, demonstrating the trustworthiness and eligibility for handling sensitive information. Required Languages * Excellent level of English, written and spoken. * Additional languages a plus. ## Description 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. This role requires an understanding of statistical methodologies, data visualization techniques, and the ability to translate analytical findings into actionable business recommendations., * 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. * Providing SSRS and Power BI Tools, reports, but not limited. * Identifies improvement opportunities within operations to aid in driving efficiencies and profitability. * Collaborating with team members for the purpose of collecting data and producing exception reports to cleanse data at the origin. * Analyzing business requirements and processes and recommending them to the management and executives for implementation. * Creates and maintains documentation that includes the design, requirements and user manuals for the organization & SOPs. * Writes stored procedures to process the data. * Supports the delivery of reporting contract deliverables to the Client. * AI Tools for Data Analysis: Ability to build and apply AI-powered tools (like automated analytics, forecasting, or pattern detection) to analyze large data sets including use machine learning features in tools, Python, spreadsheets, & BI platforms. * Data Preparation for AI Modeling: Ability to clean, organize, & label data to enable it to be utilized effectively within AI systems, including identifying missing, incorrect, or biased data that could AI results. * Interpreting AI Outputs: Ability to understand & explain results produced by AI models (predictions, classifications & trends) including translate complex AI findings into clear insights. * AI Automation: Apply, build & automate dashboards, reports and alters, identify where AI can save time & improve decision making. ## Related Videos - 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