Top Senior 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.

Lead development and governance of ADSD dashboards, performance metrics, and reporting tools. Serve as data owner, design and enhance dashboards and AI agents, support leadership and COE/field teams, lead metric rollouts and calibration, ensure data integrity, and respond to insights requests to inform operational decision-making across the Americas Distribution & Service Division.

Design and implement business intelligence solutions, analyze complex datasets, and deliver advanced-analytics insights using BI tools. Build data pipelines, create visualizations (Oracle BI, QlikView, Spotfire), collaborate with stakeholders, manage client relationships, and lead teams to improve business performance and data quality.

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.

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.

Design, develop, and support ETL/data warehouse and BI solutions. Build, test, and analyze system modules; monitor month-end reporting; troubleshoot tickets and technical issues; manage deployments to UAT and production.

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

Design, build, and maintain large-scale data pipelines, ETL/ELT processes, and data models. Collaborate with analysts, architects, and data scientists to deliver BI solutions, optimize performance, support production systems, and mentor team members. Implement cloud and on-prem data architectures, CI/CD practices, and tooling to enable data-driven decision-making across the business.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

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.

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 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.

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.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

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.

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.

Lead data strategy and analytics initiatives, design data models and forecasts, perform advanced statistical analyses, produce executive reports, and mentor junior analysts. Manage cross-functional teams to deliver data-driven insights and improve data collection and analysis processes.

The Senior Business Intelligence Analyst analyzes complex data, develops advanced models, and builds dashboards to support strategic decision-making across the organization.

The Sr BI Developer/Architect will support and administer database systems, develop dashboards and reports, and enhance BI tools like OBIEE and Tableau.

Build and maintain Power BI reports, dashboards, and semantic models; extract, clean, and analyze ERP and financial data; track KPIs and project accounting metrics; provide ad-hoc analyses and strategic insights to cross-functional teams and leadership.

The role involves designing and implementing business intelligence architecture, managing data models, overseeing ETL processes, and collaborating with stakeholders to drive data-driven decisions in the automotive industry.

Seeking a Senior Business Intelligence/Data Analyst with expertise in data warehousing, ETL design, data modeling, and analytics to manage projects and enhance data usability.