Top Data & Analytics Jobs

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

Lead Data Analyst role focusing on data analysis, visualization, and driving service improvements using SQL, Python, and various ETL tools. Involves creating dashboards and operational insights for business efficiency.

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 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 Senior Fraud Data Analyst will analyze fraud data, develop prevention strategies, collaborate with management, and leverage advanced analytics techniques to mitigate fraud risks and improve organizational performance.

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 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.

The Data Analyst I - Lifecycle will analyze data related to parts sales and service work, create reports and visualizations, and help enhance data literacy within the organization.

The Senior Analyst will lead reporting and analytics for business transformation, manage data migration efforts, collaborate across teams, and drive data-driven optimization initiatives.

The Data Analyst will prevent Account Takeover, analyze risk signals, partner with teams to develop strategies, and enhance authentication processes.

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.

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

The Data Analyst will support data analysis tasks, apply statistical and machine learning techniques, and create visualizations to enhance data insights. Responsibilities include cleaning and transforming data, delivering actionable recommendations, and collaborating with on-site teams.

The Data Analyst will analyze data, create models and visualizations, and deliver recommendations for G6 initiatives while collaborating with onsite teams.