Top Remote Data & Analytics Jobs in Houston, TX

Develops and scales data, analytics, automation, dashboard, and visualization solutions supporting Quality and Compliance. Translates business needs into technical requirements, delivers digital portfolio initiatives, integrates data, establishes governance and controls, monitors solution performance, and drives adoption. Partners with cross-functional and global stakeholders across Supply Chain, R&D, and Commercial while supporting audits, compliance, training, and responsible digital practices.

Develops business intelligence solutions by collecting, integrating, analyzing, and presenting data from internal and external sources. Designs data models, taxonomies, schemas, and governance rules; builds Power BI and Power Apps solutions; develops front-end interfaces; and provides actionable insights to decision-makers. The role requires independent technical judgment, performance tuning, and collaboration across healthcare-related systems. It is fully remote with Central or Eastern Time Zone hours and occasional office travel.

Designs and maintains enterprise data domain models, taxonomies, ontologies, metadata standards, and semantic structures. Operationalizes these assets through data catalog platforms, resolves semantic conflicts, supports governance and data quality, and enables trusted analytics, machine learning, LLM, search, and retrieval-augmented generation use cases. Partners with business, analytics, data science, and AI engineering teams to improve data discoverability, interoperability, explainability, and adoption.

Own the design and operation of Navanta’s data backbone, including secure bank-system ingestion, lakehouse architecture, semantic data modeling, reconciliation, quality, observability, and governance. Partner with AI/ML, security, and platform teams to deliver governed, queryable data products. Lead data contracts, lineage, PII classification, access controls, pipeline reliability, and onboarding of new bank environments.

Own sales insights and analytics as the trusted source of truth for sales leadership. Build forecast reporting, predictive and machine learning models for deal outcomes, executive dashboards in Salesforce and Tableau, and actionable analyses supporting GTM strategy. Partner cross-functionally on metrics, data governance, QBRs, and strategic planning while translating complex business problems into recommendations.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Conducts prospect research and wealth analysis for individual, corporate, and foundation donors; evaluates giving capacity, inclination, and affinity; develops executive briefings and portfolio reports; optimizes fundraiser portfolios; supports moves management and donor strategy; and partners with development teams to integrate predictive modeling, analytics, and wealth-screening insights into major-gift pipelines.

Build reusable Power BI dashboards, semantic models, and client-specific reporting for real estate investment data. Develop dimensional models and SQL queries across multiple data platforms, write DAX measures, manage Power BI Service workspaces and security, tune performance, validate financial and operational metrics, and support client requirements sessions and UAT. Collaborate with Client Success, Product, and Engineering while maintaining reporting standards, documentation, testing, and release processes.

Build and govern trusted Power BI and Microsoft Fabric reporting products for Microsoft business acceleration. Define KPI frameworks, semantic models, dashboards, data governance, lineage, row-level security, and executive scorecards. Reconcile metrics to authoritative systems and analyze pipeline, revenue, adoption, and utilization trends. Automate recurring reporting and quarterly proof-of-execution evidence while delivering recommendations to leadership and portfolio stakeholders.

Build and operate scalable data pipelines, governed data models, semantic layers, and analytics products. Partner directly with business stakeholders to translate requirements into production-ready data and AI solutions. Develop SQL and Python applications, LLM and agentic workflows, retrieval systems, and automated testing. Ensure data quality, lineage, monitoring, reliability, cost efficiency, and compliance for PHI and genomic data. Collaborate with platform and AI teams on architecture, governance, CI/CD, and operational excellence.