Top Data Analyst Jobs in Dallas

The Data Analyst will build reports, clean data, validate numbers, automate processes, and partner with stakeholders for operational decision-making.

The Investment Data Performance Analyst manages quarterly investment statements, ensures accurate reporting, addresses queries, and advocates for AI-enhanced operational efficiency.

The Data Center Energy Analyst will manage, analyze, and forecast energy usage and cost data across data centers, ensuring data integrity and reporting for operational decisions.

The Senior Analyst, Data Analyst role focuses on driving exceptional products and outcomes, emphasizing professional growth and delivering value to customers.

The Data Analyst I at Acorns will analyze data, optimize customer journeys, and collaborate with teams to provide actionable insights for product improvement.

The Data Analyst will analyze data to provide business insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

The Fraud Data Analyst will develop dashboards, conduct data analysis, automate workflows, and collaborate with teams to improve fraud detection and business performance.

The Financial Data Analyst will analyze profit and loss statements, financial data, and develop processes for forecasting and trend analysis.

The Data Analyst supports Project Controls by overseeing site access, database management, reporting on resource usage, and validating vendor invoicing, while ensuring data accuracy and effective communication between teams and vendors.

The Data Analyst will support the Project Controls Team by managing data entry, analyzing vendor costs, and generating reports. Responsibilities include ensuring data accuracy, coordinating site access, and communicating with multiple departments and vendors.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

The Data Analyst will manage audience and revenue data, create dashboards, forecast growth, and provide insights to leadership and teams.

Analyze data using statistical methods, maintain metrics, validate and clean data, collaborate on system improvements, and resolve data inconsistencies.

The Cyber Data Analyst analyzes complex data sets to support security investigations, prepares reports, briefs stakeholders, and manages large data sets.

The Lead Data Analyst leads complex data analytics and statistical modeling efforts, translating business challenges into analytical frameworks to support strategic decision-making. Responsibilities include developing predictive models, maintaining data quality standards, providing mentorship, and collaborating with cross-functional teams.

The Staff Data Analyst will analyze data, provide recommendations, collaborate on automation, establish reporting methods, and develop reports for analysis.

The Business Intelligence & Data Analyst will manage Power BI, improve data pipelines, analyze trader behavior, and provide insights for cross-functional teams.

Lead revenue data analytics by modeling, forecasting, and analyzing customer activities, while creating insights and reporting dashboards to guide decisions.

The Data Analyst provides insights into consumer feedback for clients, utilizing Tableau and Excel for data analysis and reporting, and communicates findings clearly to stakeholders.

The role entails designing Tableau dashboards, analyzing data from various sources, and translating findings into actionable insights for clients in a contact center environment.

The Data Analyst is responsible for analyzing consumer feedback, communicating insights to clients, creating reports and dashboards using Tableau and Excel, and presenting findings to stakeholders.

Conduct data analysis, design and develop reports using SQL and various BI tools. Collaborate on data projects and automate processes with RPA.

The Data Insight Analyst manages and analyzes data to provide insights, develop reports, ensure data quality, and support client needs using various tools including SQL, Excel, Tableau, and Salesforce.

Provide all-source maritime and subsea intelligence targeting and operational support: develop target intelligence packages, identify collection gaps, produce finished intelligence and brief senior leaders, support real-time operations and capability development, and manage large maritime intelligence databases and sensitive compartmented information.

The Data Analyst will perform data collection and analysis, apply statistical methods and machine learning techniques, and develop visualizations for decision-making.