Top Senior Analysis Reporting Jobs in Houston, TX

Design and build scalable data pipelines, migrations, integrations, curated datasets, semantic models, dashboards, and analytics products. Evolve cloud-native lakehouse platforms, establish data quality and performance practices, and deliver trusted, AI-ready insights. Partner with technical, product, and insurance-domain stakeholders to translate business needs into reliable data solutions. The role requires deep property and casualty insurance expertise, extensive data engineering experience, and ownership of complex technical problems.

Leads enterprise business intelligence and analytics for Internal Audit, including Power BI dashboards, executive reporting, KPI frameworks, semantic data models, data integration, quality, governance, and advanced analytics. Translates complex data into actionable insights for senior leadership, supports risk and performance analysis, manages stakeholder requirements and delivery priorities, and mentors analytics team members.

Leads data governance activation across Middle Office and Order to Cash domains. Establishes governance operating models, maturity roadmaps, stewardship practices, metadata and data quality processes, and data-product requirements. Uses SQL for profiling, reconciliation, and evidence-based analysis. Coaches stakeholders, translates policy into platform controls, supports audits and remediation, and partners with technical teams to improve governance tools, training, workflows, and regulated-data controls.

Leads HGO’s enterprise analytics engineering initiative, building a Snowflake data warehouse with dbt transformations, modern BI, and AI capabilities. The role manages a growing team, oversees technical implementation partners, translates executive priorities into metrics, and delivers donor, campaign, ticketing, pricing, forecasting, and audience analytics. It also drives business architecture, process modernization, and practical AI adoption while remaining hands-on with data modeling, transformations, testing, documentation, and stakeholder requirements.

Leads data projects from requirements through release, building Python and SQL pipelines, integrating and validating market data, automating processes, and supporting daily price assessments. Reviews code and data quality, develops assessment algorithms, resolves operational issues, and mentors analysts. Acts as a bridge between Data and Index teams while applying commodity market knowledge and AI coding tools to improve team productivity and reliability.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Build and extend business intelligence solutions using dbt, SQL, Snowflake, Power BI, and DAX. Responsibilities include mapping business processes to data systems, designing data models and KPIs, developing dashboards and Power BI applications, automating and testing workflows, optimizing performance, and collaborating with business partners to improve decision-making.

The Senior Data Analyst partners with business and technical stakeholders to translate business questions into analytical frameworks, KPIs, dashboards, and actionable recommendations. Responsibilities include marketing analytics, customer insights, CDP and Salesforce enablement, data governance, metric standardization, data-quality improvement, SQL-based analytical dataset development, and executive reporting. The role supports enterprise analytics initiatives across marketing, sales, service, data engineering, and technology teams.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and data modernization. Partners with executives and cross-functional leaders to establish data ownership, improve quality, develop analytics and KPI frameworks, prioritize AI use cases, and measure transformation value. Builds data-focused organizational capabilities, drives adoption and data literacy, develops investment cases, and guides enterprise initiatives that improve forecasting, planning, operational decisions, and business outcomes.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.