Top Data & Analytics Jobs

Manage analytics frameworks and reporting, collaborate with stakeholders, and drive data-driven decision making while optimizing digital experiences.

The Data Analyst will analyze power and cooling performance data, develop forecasts, create dashboards, and provide insights to optimize AI infrastructure.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.

The Data Analyst, Consultant will lead workforce analytics, integrate and analyze data, and develop insights for federal contracts, driving strategy and reporting for stakeholders.

Responsible for analyzing Tech Refresh data, providing recommendations for automation, improving data management, and preparing reports for management using statistical tools.

As a Foundry Data Analyst, you will engineer data systems, develop ETL/ELT workflows, and create visualizations using Palantir Foundry, supporting DoW programs.

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

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

The Digital Marketing Data Analyst will perform data analysis, attribution modeling, user journey tracking, A/B testing, and generate insights from data for marketing strategies.

The Senior Digital Data Analyst will analyze digital data, create attribution models, segment audiences, and present findings to clients, leveraging multiple datasets.

The Data Analyst will provide data analysis and business intelligence services, integrating data across various technologies and communicating with stakeholders to develop insights and solutions.

The Data Analyst will analyze telemetry and operational data in critical infrastructure environments, providing insights for incident management and operational performance improvement.

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.

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

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.

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

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

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

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

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

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.