Top Business Intelligence Jobs in Dallas, TX

Leads data analysis strategy and manages junior analysts while mining large datasets, building and validating models, improving processes and reporting, evaluating products and marketing initiatives, and supporting data and storage system design. The role requires strong programming, business intelligence, data governance, and analytical leadership skills in a financial services environment.

Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.

Leads enterprise data analytics, reporting, business intelligence, dashboards, data quality, and data governance supporting Texas child welfare services. Oversees data strategy, advanced analysis, system integration, documentation, and actionable insights for leaders, staff, funders, and policymakers. Supervises analytics personnel, manages priorities and budgets, promotes ethical data stewardship, and ensures compliance with child welfare regulations. Requires collaboration with operational leaders and translation of complex data into service improvement and outcome-focused decisions.

Designs and develops scalable data platforms and architecture solutions using Azure or AWS. Translates business objectives into technical strategies, supports data warehousing, business intelligence, data management, and integration initiatives, and creates architectural governance and system diagrams. Leads client initiatives, analyzes business processes, advises stakeholders and vendors, mentors data professionals, and provides technical expertise on emerging technologies and regulatory challenges. Travel averages 30–50%, with remote work from a home office when not at client sites.

Leads business intelligence strategy, reporting, data governance, process optimization, automation, and AI enablement for Networks and Leadership Solutions. Owns the BI portfolio, data and technology roadmap, dashboards, metrics, and decision support capabilities. Translates business needs into scalable solutions, drives enterprise transformation and adoption, manages technology partners, and leads cross-functional teams. Advises executives, improves operational performance, and establishes governance, change management, and continuous improvement practices.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

Owns analytical projects across customer onboarding, transaction behavior, and platform operations. Designs dashboards, KPI frameworks, reporting workflows, and data pipelines while delivering actionable insights. Partners with Engineering, Product, Payment Operations, Compliance, and Finance; mentors colleagues; manages project scope and priorities; resolves ambiguity; and drives cross-functional alignment. Requires advanced SQL and data modeling skills, BI tool experience, analytical scripting familiarity, FinTech domain knowledge, and 4+ years of analytics experience.

Leads Lumicera’s enterprise data and analytics function, setting strategy, roadmaps, governance, investment priorities, and delivery standards. Manages analytics teams, data products, reporting, dashboards, data platforms, and governed self-service capabilities. Partners with executives and operational, clinical, technology, finance, compliance, and pharmacy stakeholders to translate business priorities into measurable insights. Oversees vendors, budgets, data quality, privacy, metadata, lineage, and AI-readiness while supporting regulated healthcare and specialty pharmacy operations.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines using Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Collaborate on AI, predictive analytics, churn prediction, and lead scoring initiatives using LLMs and Amazon SageMaker. Serve as a liaison between data teams and business stakeholders across Sales, Marketing, and Customer Experience.

Owns enterprise data and analytics architecture, including scalable pipelines, medallion data models, semantic models, Power BI dashboards, data quality, governance, security, performance, and cloud cost optimization. Partners with business and technology leaders to define roadmaps, establish engineering standards, troubleshoot platform incidents, and provide technical leadership across enterprise analytics initiatives.

Develops and administers enterprise Power BI dashboards, reports, semantic models, data pipelines, and executive analytics. Responsibilities include DAX and Power Query development, SQL-based data integration, ETL/ELT, data modeling, governance, security, refresh management, and performance optimization. Partners with business and technical stakeholders to define metrics and deliver actionable insights. Supports Azure Databricks, Microsoft Fabric, AI-enabled analytics, data quality, documentation, training, and responsible AI adoption.

Leads and develops the Business Intelligence and Analytics team, partnering with business leaders to deliver dashboards, reporting, forecasting models, KPI frameworks, and actionable insights. The role oversees complex data analysis, financial and inventory modeling, data governance, reporting automation, and analytics solution development. It supports budgeting, planning, operational performance, profitability improvement, and executive decision-making while strengthening data quality, architecture, warehousing, and self-service BI capabilities.

Leads business intelligence and analytics initiatives by analyzing complex operational and financial data, developing predictive and scenario models, and building dashboards and reports. Partners with Operations, Finance, Marketing, and leadership to deliver actionable recommendations, track performance, and support strategic decisions. Mentors junior analysts and trains stakeholders on reporting and self-service BI tools.

Provides business intelligence by researching data, conducting analyses, developing metrics, and delivering insights through dashboards, presentations, and reports. Partners with product and internal teams to understand business needs, support key goals, and create business intelligence services. Requires stakeholder project management, strong analytical communication, and the ability to translate business questions into actionable recommendations.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Develop SQL reporting tables, stored procedures, semantic-layer calculations, and internal analytics applications. Build Python/Flask backends and JavaScript/D3 interfaces while establishing strong data visualization and UX standards. Model data using facts, dimensions, and semantic layers; validate metrics, tune performance, review AI-assisted code, and explain technical and design decisions to stakeholders. Collaborate with Engineering on shared data assets.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Develops and leads value creation frameworks, ROI and financial benefit models, KPI scorecards, business cases, and governance for AI, personalization, and transformation initiatives. Partners with product owners and cross-functional stakeholders to translate business and technical needs into measurable revenue growth, cost savings, churn reduction, operational efficiency, and AI adoption outcomes. Presents findings to senior leadership and drives scalable AI use cases and process improvements.

Build and maintain Microsoft Fabric data pipelines, notebooks, Lakehouse and Warehouse solutions, and Bronze and Silver data layers. Transform data using SQL, Python, and dimensional modeling to support Power BI semantic models and Gold-layer products. Monitor production processes, troubleshoot issues, improve data quality, and apply testing, documentation, source control, and DevOps practices. Partner with IT, analytics, and business teams to support advanced analytics, automation, and AI capabilities.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

Builds and maintains Power BI reports, dashboards, apps, semantic models, and data transformations for business functions. Partners with stakeholders to define requirements and KPIs, manages Power BI Service administration, configures data refreshes and gateways, validates data, leads testing, tunes performance, trains users, and supports Power Platform governance and documentation.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop and manage enterprise Power BI dashboards, semantic models, data integrations, and automated reporting for global commercial operations. Analyze Salesforce and other business data using SQL and Python, support sales performance, territories, forecasting, compensation, and executive decision-making. Own reporting reliability, data quality, governance, troubleshooting, and documentation while partnering with Sales, Finance, Marketing, IT, and commercial leadership.

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.