Top Remote Data & Analytics Jobs in San Antonio, TX

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Senior technical contributor who locates, cleans, transforms, and presents data to support operational reporting, accreditation, and institutional planning. Builds BI solutions using SQL, Power BI/Power Query, and web technologies; gathers requirements, translates technical specs for end users, manages multiple projects, and ensures compliance and continuous improvement.

Lead analytics for Wealth Solutions: analyze client segmentation, revenue, and operational data; build models for capacity and workforce planning; produce insights and recommendations for senior leadership; partner with BI and Finance to improve advisor productivity, client experience, retention, and revenue growth; support strategic projects and translate complex data into clear presentations.

Develop and maintain payment analytics: define KPIs, build automated dashboards and reporting tables, analyze transactions and declines, investigate payment issues, run ad hoc analyses, and present actionable insights to stakeholders.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Lead development and commercialization of enterprise data and analytics products. Own portfolio strategy, roadmap, pricing, go-to-market, financial performance, and cross-functional execution. Build and coach the Data Solutions organization, engage executives and Board-level stakeholders, ensure compliance and scalability, and drive revenue and customer outcomes.

Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Design, develop, and deploy Power BI reports and dashboards. Gather requirements, model and transform data, write DAX and SQL, integrate multiple data sources, ensure data security, and support end users.