Top Remote Data & Analytics Jobs in San Antonio, TX

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Own and build the company’s data warehouse architecture, curated and semantic layers, data models, quality standards, and migration automation. Develop Redshift-based pipelines using Python, PostgreSQL, Fivetran, dbt, AWS, Airflow, and Terraform. Establish metrics governance, observability, infrastructure-as-code, AI-enabled enrichment, anomaly detection, metadata generation, and structured clinical-record ingestion. Partner with engineering, product, and commercial teams to define metrics and reliable platform change contracts while mentoring data engineers.

Administer Informatica and MuleSoft data governance and quality platforms in AWS GovCloud production environments. Responsibilities include installation, integration, security, performance tuning, backup and recovery, high availability, monitoring, testing, RMF/ATO support, documentation, incident response, and technical mentoring. The role integrates data catalogs and quality services with Yellowbrick, PowerCenter, and ETL systems while maintaining secure, repeatable configurations and operational readiness.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Support design, development, and maintenance of data pipelines and infrastructure. Assist with ETL/ELT workflows, data ingestion, cleaning, validation, modeling, and warehousing. Document processes and collaborate with data teams to support analytics use cases.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling, lifecycle management, cloud infrastructure, security, networking, and cost optimization. Partner with engineering, analytics, ML, and business teams while leading large-scale data platform initiatives. The role requires expertise in modern data platforms, lakehouse architectures, streaming systems, governance, lineage, catalogs, and scalable data engineering.

Designs and maintains data warehouse infrastructure, semantic and dimensional models, metrics layers, dashboards, reporting, and secure data pipelines. Builds governed self-service analytics in Sigma, Power BI, and Databricks; defines KPIs and data standards; implements row-level security and Entra ID controls; supports data quality, observability, AI/ML use cases, and BI adoption. Collaborates with technical and business stakeholders in an Agile-Scrum environment.