Top Remote Data & Analytics Jobs in San Antonio, TX

Build production data pipelines, models, dashboards, BI reports, and metrics for EverHealth’s revenue cycle management operations. Partner with business, product, engineering, and professional services stakeholders to identify visibility gaps and deliver trusted insights quickly. Integrate healthcare, clearinghouse, operational, and AI-agent data; instrument automation outcomes; document definitions and lineage; and help shape the warehouse and BI stack while maintaining secure PHI handling and compliance.

The Data and Visual News Associate develops multimedia and data-driven journalism during a two-year newsroom rotation. Responsibilities include investigative reporting using OSINT, geolocation, satellite imagery and metadata; producing interactives, maps, charts and visual stories; analyzing audience data; experimenting with AI-powered reporting workflows; and collaborating with graphics, data and innovation teams. The role requires a technical portfolio, data analysis and visualization skills, digital evidence verification experience, and proficiency with Adobe Illustrator, HTML and CSS.

Owns monthly sales crediting, inforce, financial, and industry reporting for Employee Benefits. Reviews and reconciles data, investigates discrepancies, maintains legacy reporting tools, supports audits and testing, summarizes results for stakeholders, and partners with actuarial, sales operations, underwriting, billing, and IT teams. The role also improves reporting processes, documents business rules, and supports data warehouse enhancements.

Performs descriptive and prescriptive analytics on healthcare transaction data, including data extraction, cleaning, feature creation, exploratory analysis, validation, dashboarding, and reporting. Translates business questions into analytic tasks, supports product discovery and MVP prototypes, profiles data sources, reviews ETL processes, and documents reproducible methodologies. Partners with engineering, product, analytics, and commercial teams while maintaining data privacy, governance, quality, and clear communication for technical and non-technical audiences.

Own and improve Life360’s Ads Data Engineering platform on Databricks. Build, operate, and optimize batch and streaming pipelines, Delta Lake tables, dbt models, semantic layers, and core metrics. Integrate advertising and business data, implement quality and governance controls, manage AWS infrastructure with Terraform, reduce compute costs, and mentor engineers. Partner with analysts, ad strategists, and sales teams to deliver trusted data products while developing AI-assisted engineering tools and workflows.

Build and maintain scalable analytics data products using SQL, dbt, Snowflake, and dimensional modeling. Design trusted warehouse tables, semantic layers, metrics, dashboards, and self-service tools for BI, data science, machine learning, and AI use cases. Partner with stakeholders, optimize performance and costs, enforce data governance and privacy, improve data discovery and lineage, and mentor teammates through collaborative development and code reviews.

Analyze lifecycle marketing performance, develop measurement and attribution frameworks, optimize campaigns and customer journeys, and connect marketing activity to product and business outcomes. Partner with marketing, product, engineering, and data teams to improve analytics capabilities, use AI-powered techniques for predictive insights, and present recommendations to senior leadership.

Owns sales and creator-commerce data end to end, building tested and documented dbt models, semantic-layer metrics, and Omni dashboards. Partners with Sales, RevOps, Product, and data engineering to model CRM, pipeline, funnel, commerce, and product-usage data. Establishes trusted metric definitions, improves self-service reporting, enables AI-assisted data querying, reviews code, documents decisions, and serves as the primary owner of Kit’s sales data domain.

Build and maintain Power BI reports, dashboards, semantic models, and operational analyses for warehouse and eCommerce operations. Use DAX, Power Query, SQL, and data modeling to analyze productivity, labor, capacity, service, and performance drivers. Establish KPI definitions, validate data quality, automate reporting, monitor refreshes, and translate findings into recommendations. Partner with Operations, Finance, IT, and Data Engineering, document reporting processes, train users, and support business reviews.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.