Top Senior Data & Analytics Jobs in San Antonio, TX

Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.

Leads enterprise Business Intelligence projects, developing complex data models, dashboards, and visualizations in Power BI. Collaborates with data engineers on ETL pipelines, partners with governance teams on compliance and security, translates analytical findings into business strategies, integrates BI tools with business systems, improves BI infrastructure, and mentors less experienced professionals while shaping BI strategy.

Leads member lifecycle analytics and business strategy development by synthesizing large datasets, defining KPIs, analyzing cohorts, churn, lifetime value, and P&L performance, and guiding A/B testing. Partners with senior stakeholders to translate complex insights into strategic initiatives, influence decisions, and improve member experience. Provides team leadership and training while using tools including Tableau, R, Python, SQL, Snowflake, and Adobe Analytics.

Leads enterprise data pipeline and metadata architecture using Palantir Foundry, AIP, AWS, and Databricks. Oversees ingestion, transformation, governance, data quality, ontology and metadata development, platform integration, document processing, and AI-ready data foundations. Partners with engineering and data science teams, leads matrixed teams, engages senior stakeholders, and manages Agile delivery. Requires extensive Palantir expertise, cloud data engineering experience, and the ability to obtain Public Trust clearance.

Leads software and analytics engineering teams responsible for enterprise reporting, dashboards, and insights. Develops BI and cloud modernization strategies, establishes analytics architecture and governance, improves automation, observability, reliability, and visualization standards, and manages reporting delivery alongside transformation initiatives. Recruits and develops talent, partners with business leaders, and drives scalable, secure, and innovative intelligence platforms across the organization.

Build and support scalable big data pipelines, integrations, and Data Lakehouse architecture for marketing, analytics, reporting, and AI applications. The role develops data models, monitors data quality, troubleshoots production issues, provides post-deployment support, and partners with analytics, data science, business, and engineering teams on long-term platform strategy.

Lead and deliver large-scale customer analytics engagements for Communications, Media & Technology clients. Define analytics strategies, develop thought leadership, drive CRM modeling, reporting, and predictive analytics solutions, and grow client practice.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.