Top Analysis Reporting Jobs in Houston, TX

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Analyze business challenges and opportunities within Global Payment Network. Develop strategic and tactical recommendations, model products and pricing, evaluate credit risk, conduct market and operational analyses, test hypotheses, assess solution feasibility, and support implementation. Collaborate with Product, Business Development, IT, Sales, Operations, Finance, and management to improve quality, volume, service, and profitability.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

The Payor Contracting Analytics Director leads financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and identifying growth opportunities.

Lead Solutions Analyst translates complex business requirements into functional solutions for KYC and risk assessment initiatives, performs data analysis and mapping, prepares interface documents, supports UAT onboarding, coordinates with stakeholders, identifies risks, and promotes AI-assisted, reusable analysis practices.

Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.

Leads district accountability analytics by forecasting TEA outcomes, analyzing STAAR and MAP performance data, and building predictive models, dashboards, reports, automated Python data pipelines, and audit-ready reporting systems. Supports executive decision-making, protects accountability ratings, and drives continuous improvement through accurate and timely student performance insights.

Advances master data quality, governance, stewardship, and AI readiness across Lower 48 business units. Profiles and troubleshoots data, defines quality standards and ownership, translates business needs into governed data and AI solutions, and supports responsible adoption of enterprise platforms. Partners with business, IT, analytics, and AI teams to deliver trusted data for analytics, automation, retrieval, and AI consumption.

Participates in a rotational data analytics internship involving research design, data collection, analysis, reporting, and executive brief development. The intern collaborates with cross-functional stakeholders to address enterprise insight needs, supports priority projects, communicates findings, and recommends improvements. Responsibilities also include learning through assignments, managing multiple activities, developing professional relationships, and receiving mentorship and feedback.

Own and mature the organization’s application and data governance program across Tekion, Snowflake, and Qlik. Responsibilities include administering Snowflake security and governance, defining trusted data structures and quality standards, managing Tekion configuration and integrations, documenting lineage and metadata, maintaining glossaries and inventories, supporting audit readiness and responsible AI, prioritizing governance requests, and educating stakeholders on data ownership and access controls.