Top Remote Analytics Jobs in San Antonio, TX

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Lead the marketplace analytics by optimizing monetization strategies, monitoring performance, creating dashboards, and analyzing supply-demand dynamics. Collaborate cross-functionally to drive engagement and profitability.

Support EHS analytics, systems stabilization, and enablement across enterprise platforms. Develop dashboards, validate analytics, translate operational needs into data requirements, partner with data engineering, and drive governance, adoption, and process standardization.

Lead analysis of auto physical damage claims to identify trends, root causes, and opportunities. Develop dashboards, scorecards, and self-service analytics; partner with stakeholders to define KPIs and translate needs into requirements. Use statistical methods and evidence-based storytelling to present findings, collaborate with data engineering to improve data quality, and drive insight-to-action across Claims and related teams.

Design and automate partner-facing reporting systems, transform complex healthcare data into clear insights, present findings to external stakeholders, support partner success, and collaborate cross-functionally to scale analytics workflows and uncover operational and clinical trends.

Use advanced analytics and ML to design and monitor credit risk models, optimize underwriting and credit strategies, partner with Engineering/Product/Compliance, oversee portfolio performance and regulatory alignment, and lead cross-functional initiatives to balance growth, compliance, and risk mitigation.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.

Lead IJM's global donor and audience insights by developing segmentation, motivation models, and behavioral analysis to guide marketing and fundraising strategy. Translate complex data into actionable recommendations, manage global projects and workflows, build cross-functional adoption of analytics, produce foresight and trend reports, and embed an insight-driven culture while participating in organizational spiritual formation.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Lead a high-impact analytics function partnering with clinical and business leaders to apply advanced analytics, modeling, and BI to improve participant outcomes, operations, and financial performance. Manage and mentor analysts, design analyses and models, build stakeholder relationships, and communicate actionable insights to influence enterprise strategy.

Lead design and delivery of Workday reporting and analytics for AMS clients: build advanced/matrix/trending/composite reports, dashboards, Discovery Boards, Worksheets, and complex calculated fields; gather requirements, optimize reports, mentor junior consultants, and provide Workday best-practice guidance.

Lead architecture and execution of Grafana's marketing data stack and analytics practice. Build forecasting, predictive, and causal models, design BigQuery schemas, deploy agentic AI and automated pipelines, partner with GTM leadership, and deliver executive-grade insights to drive demand generation and ROI.

Design, build and maintain scalable, auditable analytics-ready data models (primarily in dbt) for PBM and care navigation. Implement data quality checks, CI/CD, documentation, pipeline orchestration, and partner with stakeholders to enable self-service analytics and AI-enabled workflows.

Lead digital measurement analytics for servicing platforms: design/validate data collection, build reporting and feature measurement, collaborate with stakeholders, mentor team members, and drive analytics roadmap and actionable insights.

Develop, enhance, and support Synchrony’s metadata management and cataloging platform (Ab Initio Metadata Hub). Collaborate with governance, engineering, and analytics stakeholders to ensure metadata quality, lineage, and discoverability; design solutions, implement platform changes, test, document runbooks, and enable cloud and AI/ML metadata use cases.

Design, build, and maintain Workday reports, dashboards, Adaptive Planning sheets, and automations. Deliver workforce analytics, forecasts, and visualizations to support workforce planning and data-driven HR decisions. Collaborate to develop scorecards and influence business outcomes with real-time and forecasted people data.

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

The Senior People Analytics Consultant delivers insights from complex data to guide people strategies and influence decisions within the organization.

The Director of Business Operations oversees marketplace performance analysis, developing metrics and insights, and collaborating across teams to enhance strategy and decision-making.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.