Top Analysis Reporting Jobs in Houston, TX

Supervise district and state assessment administration, train staff, track student progress toward testing graduation requirements, prepare standardized reports, and support campus administrators and staff in using assessment data for decision-making.

Build and support production data pipelines, Databricks workflows, dimensional models, semantic models, and enterprise integrations using Azure, SQL, Python, and PySpark. Own solutions from requirements through deployment, monitoring, and support. Investigate data discrepancies, improve data quality, modernize legacy systems, and assess downstream impacts on Power BI and business metrics. Partner with stakeholders across healthcare and business functions, mentor technical teammates, and establish engineering standards for testing, CI/CD, documentation, and governance.

Build and maintain Power BI dashboards and Salesforce reports; analyze sales, pipeline, forecast, pricing, margin, manufacturing, procurement, and cost data. Reconcile Salesforce and ERP information, maintain CRM data quality, produce recurring reporting packages, and support sales operations. Develop Excel analyses, document reporting processes, identify trends and discrepancies, and clearly communicate findings to sales, operations, and executive stakeholders.

Design and maintain Power BI or Tableau dashboards, analyze performance trends across multiple systems, monitor contractual benchmarks, and produce reports for leadership, quality assurance, and compliance teams. Train staff to interpret data visualizations and support data-informed decisions, accuracy, continuous improvement, and improved workforce service delivery.

Maintains Tower business data accuracy, completeness, governance, and consistency across systems. Creates reports, dashboards, and analytical solutions; investigates anomalies, resolves data quality issues, supports data governance policies and standards, maintains data catalogs, performs audits, and identifies process improvements. Partners with Assets, Supply Chain, Finance, IT, and other stakeholders to provide trusted reporting and support business decision-making.

Design and implement data infrastructure, custom extractors, ETL pipelines, data models, and visualization prototypes for industrial clients. Collaborate with solution architects, subject matter experts, product teams, and stakeholders to deliver reliable data solutions using Python, Spark, SQL, Kafka, REST APIs, and Docker. The role requires experience in oil and gas or manufacturing, client-facing communication, and onsite travel from a hybrid Houston location.

Analyze petrochemical, polymer, and raw-material markets to support trading strategies and commercial decisions. Develop supply-demand outlooks, price and margin analyses, market reports, dashboards, and research initiatives. Gather insights from suppliers, customers, and service providers, assess trade structures, and recommend data sources, models, and analytical tools to improve market intelligence.

Leads program and network evaluation activities for a child-services provider network. Analyzes quantitative and qualitative data to identify service gaps, capacity issues, performance trends, and risks. Develops evaluation plans, dashboards, reports, forecasting tools, and actionable recommendations. Supports procurement processes, subcontractor performance monitoring, compliance reporting, and continuous improvement initiatives. Presents findings to stakeholders and manages evaluation, forecasting, and procurement projects independently.

Develop and maintain ETL/ELT pipelines across enterprise data lakes, warehouses, and BI platforms. Integrate, transform, validate, and monitor large datasets using Databricks, ODI, SQL, and Python. Support data quality, governance, metadata, lineage, semantic layers, dashboards, reporting, production troubleshooting, and operational maintenance. Collaborate with business and technical stakeholders to deliver scalable analytics solutions.

Designs and maintains data architecture, canonical schemas, ETL/ELT pipelines, cloud data warehouse integrations, governance standards, data lineage, and documentation. Partners with engineering, product, business teams, and vendors to ensure reliable, trustworthy data. Designs data access patterns for AI and LLM applications, including retrieval-augmented generation and minimum-necessary-data principles.