Top Data & Analytics Jobs

The Data Analyst is responsible for developing and executing service requests, conducting data analysis and visualization, building data pipelines, and improving data-driven processes. They engage with clients, ensuring data accuracy and automated reporting to optimize business operations.

The Data Analyst will gather stakeholder requirements, create reports in Sigma, utilize SQL for data manipulation, and analyze data trends for strategic decisions.

As a Senior Data Analyst, you'll analyze complex data, create data models, and deliver actionable insights to guide product development and business decisions.

The Data Analyst role involves using Microsoft Office applications for reporting, collaborating on tasks with global teams, and ensuring attention to detail.

The Data Analyst develops data requirements, performs data analysis, writes SQL/SAS code, and enhances data management processes while supporting various data tools.

Act as a liaison between business stakeholders and development teams on Agile projects, ensuring requirements are effectively communicated and met. Analyze data structures to align business needs with data requirements, and assist in project testing.

The Data Analyst will execute data profiling, data quality testing, and reporting, develop data quality standards, and work across teams to ensure data quality compliance.

The Data Analyst will analyze data to identify anomalies, recommend solutions, communicate insights, and develop reports while managing multiple deadlines.

Gather reporting requirements and develop data feed specifications. Analyze data quality issues and define ETL mapping specifications for incoming data feeds.

The Business/Data Analyst will analyze complex business problems, document data flows, facilitate process improvements, and ensure quality assurance across teams.

The Data Analyst role involves problem solving in HR information systems and data analytics with intermediate Excel skills required.

Responsible for data gathering and analysis, creating data visualizations, assisting in market analysis, and managing tasks with partner teams.

Perform data analysis, coordinate project meetings, gather documentation, and prepare reports for performance review and data requests.

Analyzes product complaint data to ensure regulatory compliance, prepares reports, identifies process improvement areas, and develops data analysis tools.

The Business Data Analyst will analyze workforce data, create dashboards, and provide actionable insights to support strategic workforce planning in the Legal HR function.

The Data Analyst will support the Chicago Bakery Team by analyzing key performance indicators and data reporting for production lines, focusing on efficiency, downtime, and waste.

The Data Analyst will perform data analytics and data science projects, work collaboratively on client engagements, and develop skills in analytics.

The Big Data Analyst will analyze complex data, communicate findings, work with teams, and solve problems related to BI and case management.

The job requires a Data Analyst with 6-7 years of experience, specifically 2 years in R programming, to perform data analysis using R.

As a Data Analyst, you will analyze healthcare data, develop reports, assist with ETL/ELT pipelines, and provide data-driven insights to stakeholders.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

Analyze customer sales and behavioral data to impact decisions, develop reports, optimize campaigns, and enhance user experience in ecommerce.

The Benefits Data Analyst will perform data management and reporting, analyze client performance, manage costing tools, and support open enrollment processes.

The Data Analyst will oversee database administration, design logical data models, ensure data accuracy, and collaborate with development teams on enterprise applications.

The Data Analyst will document data requirements, assist with master data management, perform data profiling, and support data governance.