Top Analysis Reporting Jobs in San Antonio, TX

Analyzes complex data sets using Snowflake, Alteryx, and Python to identify patterns and provide reporting. Develops automation strategies, improves operational processes, coordinates cross-functional initiatives, evaluates risks, coaches team members, and supports strategic decision-making. The role also requires customer service, conflict management, prompt writing, AI-enabled analytics, software delivery lifecycle knowledge, and release management expertise.

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.

Develops reporting, forecasting, financial and contract analyses, sales analytics, and profitability insights for the Fuels Value Chain. Partners with field personnel, management, IT, pricing, supply, finance, and other stakeholders to support strategic decisions, business development, CRM requests, process improvements, and commercial value enhancement. Monitors industry and market trends to inform recommendations and marketing strategies.

Designs, builds, automates, and integrates solutions across enterprise data platforms. Supports Cognite Data Fusion, Databricks, Azure Lakehouse, streaming, APIs, monitoring, deployments, data contextualization, governance, and platform reliability. Responsibilities include platform updates, migrations, troubleshooting, data validation, incident triage, disaster recovery, security, observability, runbook maintenance, and reusable automation. Collaborates with architects, engineers, product teams, IT departments, and vendors to deliver scalable, secure, governed data capabilities.

Analyze complex datasets to identify trends, risks, and opportunities; develop reports, dashboards, and scorecards; perform ad hoc and advanced analytics; manage data extraction, transformation, validation, and governance; design and measure business initiatives; and present actionable recommendations to stakeholders and leadership.

Supports ticket sales strategy through recurring and ad hoc reporting, dashboard and dataset maintenance, sales trend analysis, commission data validation, and revenue performance insights. Partners with sales leadership and ticketing analytics to evaluate pricing, inventory, sales strategy, and revenue opportunities. Communicates findings and recommendations to stakeholders while managing multiple reporting priorities in a fast-paced hybrid environment.

Manages JCB North America’s marketing database and integrations between Salesforce, Oracle Eloqua, and enterprise systems. Develops Apex, Python, and SQL scripts for data aggregation, cleansing, transformation, enrichment, and automation. Maintains Eloqua data structures, segmentation, suppression processes, and database hygiene. Monitors data quality, optimizes performance, supports campaign and reporting needs, troubleshoots integrations, and documents data processes while ensuring customer data integrity, security, and compliance.

Leads strategy and execution for marketing analytics platforms, data ecosystems, information governance, analytics delivery, and reporting. Oversees data storage, preparation, exploration, architecture, quality, compliance, and stakeholder delivery. Builds high-performing teams, develops talent, manages budgets and risks, and partners with Marketing, Engineering, Architecture, Security, and Product teams. Drives modernization, automation, AI-ready data foundations, measurement frameworks, targeting, attribution, and improved marketing effectiveness.

Develops and maintains production data pipelines, ETL/ELT workflows, data solutions, and ML infrastructure using Python, AWS, and related technologies. Responsibilities include data ingestion, transformation, validation, storage, monitoring, troubleshooting, performance optimization, and deployment. Collaborates with data scientists, analysts, product teams, and stakeholders in an agile environment.

Analyzes complex data from diverse sources to evaluate programs, develop metrics, create datasets and dashboards, conduct statistical and qualitative research, and deliver recurring reports. Presents findings to stakeholders, supports operational decision-making, audits data quality, and collaborates across teams. The role also mentors junior analysts and manages reporting deliverables. Advanced experience with statistical analysis and visualization tools is required, with bioinformatics and multiomics experience preferred.

Develop and maintain enterprise geospatial applications, web services, dashboards, geoprocessing tools, and automation using Python and Esri technologies. Integrate and administer geospatial systems, troubleshoot GIS applications, manage data gateways, and migrate legacy applications to AWS Cloud One. The role also requires ArcGIS administration, database experience, spatial data standards knowledge, technical communication, and support for Air Force GeoBase initiatives using Agile practices.