Top Business Intelligence Jobs in Dallas, 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.

Develop and implement business intelligence solutions using BI tools to provide strategic insights. Build data pipelines, validate data quality, collaborate with stakeholders, perform data and economic analysis, support data architecture and process improvements, and contribute to client engagements while growing technical skills.

Design and implement BI solutions and advanced analytics to generate strategic insights for clients. Build data visualizations and pipelines using Oracle BI, QlikView, and related tools; analyze complex datasets to improve business performance; manage and mentor teams; maintain client relationships; uphold professional standards and collaborate on process and data quality improvements.

Client-facing BI leader who translates large wholesale datasets into actionable insights. Designs SQL/Snowflake queries, builds analytical frameworks and reports, partners with Sales and Data Science, drives BI infrastructure improvements, manages complex projects, and mentors junior analysts to support strategic decision-making.

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.

Support product management for service technology by gathering and prioritizing analytic requirements, building data sets, reports, and dashboards, automating reporting, enabling self-serve analytics, improving service productivity through data analysis, and collaborating cross-functionally to drive client retention and deliverables on time.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

The Sales Business Analyst will provide insights on sales data, support sales leadership, enhance reporting capabilities, and drive analytics for improved sales effectiveness.

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.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

The Assistant Director will oversee data-related needs for Undergraduate Enrollment, manage reports, assist with data queries, and provide data support for enrollment initiatives.

Design and architect a data repository/warehouse to deliver accurate, business-ready data. Provide SAP BW architecture expertise, guide BI data modeling and ensure data availability for stakeholders during a 6-month contract starting ASAP.

Implement and maintain data governance using IBM InfoSphere Governance Catalog: design catalog permissions, workflows, metadata enrichment, lineage, imports/exports, mappings, and custom lineage reports. Support DW/BI projects, perform design and architecture reviews, troubleshoot issues, collaborate with stakeholders, and work in a global delivery model (financial domain experience preferred).

Implement and maintain IBM InfoSphere Governance Catalog for DW/BI projects: design metadata and category hierarchies, configure permissions, manage data/business lineage and DB connections, produce custom lineage reports, perform design and architecture reviews, and troubleshoot complex issues.

Design, build and support large-scale Hadoop environments. Hands-on development with MapReduce, Hive, Pig, HBase and Java. Work with large datasets, ETL/DW/BI solutions, performance tuning, monitoring, data architecture/governance, and client-facing delivery in the financial domain.

Design, develop and maintain IBM Infosphere Governance Catalog solutions within DW/BI projects. Define catalog permissions, users, roles, and access levels; create and manage workflows; perform design and architecture reviews; explore and enhance glossary, information, and external assets, stewards, blueprints, and metadata.

Implement and maintain IBM InfoSphere Governance Catalog for DW/BI projects: design and architecture reviews, develop catalog assets, define permissions, manage workflows, and enhance metadata.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

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 and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

Lead a Business Intelligence team to design data integration, reporting, and dashboards (Power BI/Tableau/Datorama); deliver actionable marketing insights; manage stakeholders, vendors, and legal/compliance interactions; oversee data warehousing, ETL, QA, and project delivery; mentor analysts and drive commercialization and go-to-market for analytics initiatives.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Designs, develops, and maintains BI analytic applications and reports. Gathers requirements, codes complex systems, performs SQL-based data extraction and performance tuning, integrates source systems, conducts testing, mentors junior staff, and supports deployment and documentation. Works cross-functionally to deliver data warehouse solutions and troubleshoot ETL and reporting issues.