Top Senior Analysis Reporting Jobs in Houston, TX

Own GTM analytics across Sales, Marketing, RevOps, Finance, and Customer Support. Build trusted data and reporting systems, define metrics, develop AI-powered self-service tools, identify business risks and opportunities, and translate complex pipeline and revenue analyses into executive-ready recommendations. Partner with data engineering to maintain data integrity and instrumentation while guiding decisions on investment, headcount, and strategy.

Designs and develops cloud data architectures, ingestion frameworks, data models, and analytical platforms. Advises clients on cloud migration, data warehousing, technical approaches, and implementation roadmaps. Collaborates with stakeholders through requirements gathering, workshops, whiteboarding, and project meetings while deploying end-to-end cloud analytics solutions. Requires experience with cloud platforms, big data technologies, BI tools, data warehousing methodologies, programming, SQL, version control, and Agile/DevOps practices.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Supports commodities trading through BI dashboards, reporting, data pipelines, forecasting models, and analysis of pricing, P&L, volumes, and market exposure. The role troubleshoots data quality issues, translates stakeholder needs into analytical solutions, automates reporting workflows, supports market data migrations, prepares management presentations, and mentors junior analysts. Work includes Power BI and Spotfire development, SQL-based data analysis, and collaboration with IT Data Engineering.

Develop and execute data strategy for Upstream, Power, and Gas businesses. Partner with client, product, sales, technology, data operations, and stewardship teams to identify data needs, define quality standards, build development roadmaps, and communicate project progress. The role bridges business priorities and data management execution, translating strategy into measurable goals and delivering harmonized, high-quality data solutions across a matrixed organization.

Leads end-to-end ERP data conversions, including extraction, mapping, cleansing, enrichment, loading, reconciliation, mock conversions, testing, issue resolution, and status reporting. Collaborates with ERP program leads and functional and technical teams to develop conversion strategies and finalize data mappings. The role requires independent problem-solving, advanced technology expertise, and experience leading global teams.

Design and maintain scalable ETL/ELT pipelines, data integrations, APIs, databases, warehouses, and workflow orchestration. Improve data quality, security, governance, reporting accessibility, and infrastructure reliability across a multi-location organization. Collaborate with analysts, technology teams, and business leaders, troubleshoot complex data issues, support CI/CD deployments, and provide technical leadership and mentorship while shaping long-term data strategy.

Builds and manages enterprise data pipelines, transformations, reporting structures, and analytics infrastructure using operational data from Oracle Fusion, SAP, and related platforms. Supports secure, accurate financial, HR, and procurement reporting through Microsoft Fabric and Power BI, including real-time dashboards and historical analysis.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Designs and implements enterprise database architecture, relational databases, data warehouses, data models, archiving strategies, and migration solutions. Develops database security, backup, and recovery specifications; provides MIS and database operational support; codes utilities; resolves user issues; and supports legacy-system migrations. The role also requires collaboration, technical training, and expertise in Oracle, ETL, PL/SQL, and dimensional data modeling.