Top Remote Analysis Reporting Jobs in Houston, TX

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Design and implement scalable cloud-based ETL and analytics solutions using Incorta and Azure. Translate business requirements into architectures, lead data ingestion and integration across ERP and enterprise apps, optimize performance and security, support CI/CD and deployment, mentor teams, and conduct architecture reviews and governance.

Maintain and secure the church CRM by entering, auditing, deduplicating, and updating constituent records. Build reports, dashboards, mailing lists, and analytics; support online forms, event registrations, and integrations. Train staff, manage user permissions, coordinate with IT/vendors, perform audits, and document procedures to support ministry decision-making and data-driven operations.

The Refineries Analyst will maintain data integrity and enhance refinery models, utilizing Linear Programming and collaborating with various teams to optimize data-driven refinery modeling and operations.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

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.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Partner with sales leadership to define business requirements, design end-to-end analytics solutions (data models, semantic layers, dashboards), build scalable Power BI/Microsoft Fabric reporting, translate data into executive-ready insights, drive automation and standardization, mentor analysts, and influence business decisions with data-driven recommendations.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.