Top Business Intelligence Jobs in Houston, TX

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Develop and implement BI solutions using Oracle BI, QlikView, and Spotfire. Build data pipelines, validate data quality, perform analysis, collaborate with stakeholders, support data architecture, and apply economic analysis to inform client strategies.

Lead and build Coupa's post-sale customer intelligence function: integrate structured and unstructured data, create diagnostic and predictive analytics for churn/expansion/adoption, define AI value measurement, and grow a team to deliver executive-level insights.

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Design, build, maintain Power BI reports; gather requirements from business and executives; translate needs into technical specifications; support end-users; analyze data and recommend improvements to productivity and profitability.

Design, develop, and maintain data warehousing, ETL, and BI reporting solutions. Build reports and dashboards (Power BI, SSRS, Tableau), ensure data accuracy, gather stakeholder requirements, implement end-to-end BI solutions, and support finance and ERP-related analytics. Maintain cloud/on-prem ETL and Azure data warehouse pipelines.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The Market & Business Intelligence Analyst conducts research on clients and competitors, analyzes data for strategic initiatives, and supports business development efforts.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Design and develop BI solutions from business requirements using SAP, Spotfire, and Microsoft BI tools. Provide governance, QA, training, testing of releases, evaluate new tools, support audits, enforce standards, and work with vendors to troubleshoot environments.

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Build and maintain a scalable BI and reporting platform using ClickHouse and Python ETL. Design dimensional models and reporting marts, optimize queries, create dashboards, support data pipelines from Elasticsearch, SQL Server, APIs and files, and add AI-enabled reporting features and developer tooling for analytics workflows.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Validate and QA data across UI and API sources, investigate issues, manage taxonomy mismatches, compile non-automated reports, and update/maintain dashboards (Power BI/Tableau). Collaborate with Business Strategy, Investment, and Analytics teams to resolve data and KPI anomalies.

Design, develop, and deploy Power BI reporting and analytics on Snowflake. Migrate OBIEE reports to Power BI, build data models and ETL/ELT pipelines, write DAX and SQL, optimize report performance, ensure data quality, and support stakeholders with documentation and ongoing support.

Senior Power BI developer responsible for building dashboards, scorecards, and analyses that deliver actionable insights. Partner with stakeholders and data architecture to join disparate datasets, ensure data quality, perform ETL, apply advanced DAX/Power Query and SQL, and present recommendations to senior leadership to drive KPI improvements.