Top Data & Analytics Jobs in Houston, TX

The Senior Data Analyst leads projects that improve operational performance and client service. Responsibilities include developing business strategies, monitoring operational risk metrics, collecting and presenting performance data, retrieving and optimizing data warehouse queries, mentoring team members in SQL, and communicating findings to operations staff and senior management. The role requires strong analytical, visualization, communication, and project management skills within a financial services environment.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

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.

Leads data management architecture and complex client engagements, including discovery workshops, solution design, platform integration, proof-of-concept development, implementation roadmaps, and enterprise data governance. Leads pursuit teams, RFP responses, globally distributed delivery teams, and executive-level client presentations. Provides expertise in master data management, data quality, cataloging, lineage, data modeling, cloud platforms, legacy modernization, scalability, security, and emerging AI technologies.

Prepares recurring and ad hoc management reports by consolidating, validating, and reconciling data from multiple systems. Maintains dashboards and trackers, monitors KPIs, coordinates data submissions, supports audits, and escalates data quality issues. The role also identifies reporting inefficiencies and recommends automation and process improvements using spreadsheet, business intelligence, and AI-powered tools.

Leads digital analytics for a large-scale website, analyzing customer behavior, marketing channels, search trends, conversion funnels, and digital experiences. Owns GA4 measurement strategy, KPI frameworks, dashboards, reporting, data quality, and analytics prioritization. Translates complex data into recommendations for marketing, product, UX, engineering, SEO, and paid media teams, while delivering executive reporting and promoting experimentation and continuous optimization.

Owns the enterprise Power BI ecosystem, including data modeling, ETL/ELT pipelines, dashboards, reporting, administration, governance, security, and support. Leads BI implementations, platform maintenance, testing, documentation, process improvements, stakeholder training, and adoption of Microsoft Fabric, Databricks, and AI-enabled analytics. Requires strong Power BI and Azure Data Factory expertise, business requirements translation, analytical problem-solving, communication, and potential people leadership. Travel up to 20% domestically and internationally is required.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle planning. Translates business and data requirements into platform solutions, coordinates cross-functional technology teams, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases. Provides technical leadership and guidance without direct personnel-management responsibility.

Lead global market research and analysis for intermediate chemicals, oversee price forecasting, manage and mentor a large research team, build industry relationships, ensure price discovery standards, support sales and consulting engagements, and represent coverage at events and client meetings.

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.