Top Remote Data & Analytics Jobs in San Antonio, TX

Analyzes claims data to identify trends, anomalies, root causes, cost drivers, and operational inefficiencies. Partners with claims, quality assurance, SIU, finance, and leadership teams to define analytical requirements, develop recommendations, improve claims handling, reduce risk, and enhance efficiency. Presents actionable findings to technical and non-technical stakeholders, including adjusters, managers, and executives.

Supports Ballotpedia’s sample ballot lookup app by researching election boundary rules, sourcing and georeferencing maps, creating and formatting shapefiles, entering boundaries into a database, and testing geographic data. The part-time remote internship runs January 11 through May 7, 2027, for approximately 10–20 hours per week. Interns receive weekly coordination meetings and may receive academic credit.

Leads the enterprise data strategy, governance, and data platform for a P&C insurance carrier. Owns the Microsoft Fabric data warehouse and Azure Data Factory pipelines supporting premium and loss data. Builds data governance, quality, lineage, and documentation programs; develops citizen self-service analytics and data literacy initiatives; and leads data engineers, analytics engineers, and analysts. Partners with underwriting, claims, finance, actuarial, compliance, and executive stakeholders to deliver trusted, scalable, and regulatory-ready data capabilities.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Lead the technical direction, architecture, reliability, observability, and modernization of a cloud-based data engineering platform. Design scalable pipelines and reusable frameworks supporting analytics and AI, improve data quality, and establish testing, code review, CI/CD, and engineering standards. Drive adoption of AI-assisted development tools and build agentic workflows across planning, coding, testing, and deployment. Partner with machine learning, MLOps, Analytics Engineering, and business stakeholders in a highly autonomous senior individual contributor role.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Develop Power BI dashboards, reports, and governed semantic models supporting school operations and student outcomes. Translate stakeholder needs into accessible visualizations, optimize DAX and report performance, implement row-level security, validate data quality, troubleshoot refresh and reporting issues, and support scalable self-service analytics. Collaborate with data engineers, analysts, and business stakeholders throughout requirements gathering, delivery, deployment, documentation, and support while contributing to data governance and reporting lifecycle improvements.

Analyze clinical outcomes, engagement, feature usage, ROI, and business trends for client reporting. Build and maintain complex SQL queries, reporting workflows, interactive dashboards, and self-service analytics. Partner with Customer Success, Sales, Marketing, Finance, Product, and Medical Affairs to deliver actionable insights, executive presentations, and client-facing materials. Improve data quality, automate recurring reporting, and identify opportunities that support client outcomes and business growth.

Build and maintain dbt-based data transformations, analytics models, ELT workflows, testing, and data quality processes. Collaborate with analysts, engineers, and stakeholders to support reporting, self-service exploration, governance, and business decision-making. Troubleshoot data issues, document workflows, evaluate analytics tools, and contribute to scalable data practices using a modern cloud data stack.

Evaluate webpages returned for search queries by assessing relevance, reliability, usefulness, and quality against user intent. Conduct online research, follow detailed rating standards, and record accurate, consistent decisions. This freelance project offers flexible scheduling, though task availability depends on client demand and is not guaranteed.