Top Analysis Reporting Jobs in San Antonio, TX

Analyze complex datasets, automate and improve business processes, create Tableau dashboards, and deliver reporting insights. The role uses Alteryx, Python, and SQL for data preparation and analysis, performs exploratory analysis and data-quality validation, documents data logic, and collaborates cross-functionally on strategic and operational initiatives.

Analyze complex healthcare datasets, perform data mining, build automated dashboards, define metrics, validate data quality, optimize SQL queries, and translate quantitative findings into strategic recommendations for technical and non-technical stakeholders.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

The Analytics Business Partner works directly with leaders to diagnose business performance, define and govern metrics, build end-to-end analytics, and translate findings into decisions. Responsibilities include owning the analytics roadmap, validating data, improving data quality across ERP, HR, and CRM systems, partnering on dbt models, running leadership reporting, and training users. The role requires strong SQL, Tableau, AI-tool experience, consultative communication, and the ability to work with multiple data sources. It is fully remote in the U.S. with up to 20% travel.

Supports healthcare, clinical, operational, and research data analysis through statistical analysis, data quality assessment, trend analysis, dashboards, visualizations, technical reports, datasets, and analytical products. Requires a quantitative bachelor's degree, at least three years of relevant analytical experience, CAC eligibility, and ability to meet a Tier 1 investigation requirement. Trauma registry or Department of Defense healthcare data experience is preferred.

Executes fraud analytics and prevention strategies for credit card and retail banking businesses. Analyzes data to identify trends, develops fraud rules, scores, and detection strategies, performs risk/reward analysis, and recommends mitigation actions. Partners with Fraud Policy, Operations, and technology teams, manages reporting, identifies control gaps, and supports governance improvements across the fraud lifecycle.

Develop and manage Power BI reports, dashboards, and KPI scorecards. Gather requirements, translate business needs into technical reporting solutions, write T-SQL and DAX queries, maintain SSRS reports, document report logic, validate data quality, and support dashboard performance. Collaborate with business and IT teams to integrate systems and deliver reliable analytics solutions.

Leads Databricks data engineering and DataOps delivery, including pipeline development, migrations, transformations, orchestration, data quality, governance, monitoring, and performance optimization. Designs scalable frameworks and production data solutions using Spark, PySpark, Python, SQL, and Delta Lake. Coordinates cross-functional technical delivery, manages estimates and releases, troubleshoots issues, communicates risks, and mentors data engineers in a client-facing consulting environment.

Analyze POS, loyalty, panel, and syndicated data to identify consumer and category insights. Develop assortment, item performance, and store-clustering recommendations that support sales, market share, and category growth. Partner with clients and business leaders on data-driven strategies, translate findings into business opportunities, and present performance reviews. Collaborate with sales, category management, and analytics teams on strategic planning.

Analyze POS, loyalty, panel, and syndicated data to uncover consumer and category insights. Develop assortment, item performance, store clustering, and growth strategies; translate findings into recommendations that improve sales, market share, and category growth. Present business performance reviews and collaborate with sales, category management, analytics teams, clients, and business leaders to support strategic planning.