Top Data & Analytics Jobs

The Compensation Analyst will support the Outsourced Services team by conducting research and market pricing, assisting with report preparation for clients, and managing project communications. Responsibilities include data analysis, job description development, and client interactions to address compensation inquiries.

The Senior Revenue Analyst is responsible for revenue close cycle accuracy, revenue reporting, compliance with audit controls, and process standardization. They participate in enterprise initiatives and collaborate across departments to drive project resolutions and understand revenue recognition for new offerings.

The HRIS Analyst will improve business productivity by serving as a subject matter expert in Workday modules such as HCM and Payroll. Responsibilities include implementing Workday initiatives, supporting upgrades and testing, and collaborating with HR and Payroll departments for various technical solutions.

As a Data Engineer on the Data Platform team, you will design and build data transformations, develop big data systems, and establish best engineering practices to support the company's core products and enhance data products for business teams.

The Senior IT Project Analyst manages and implements multiple IT infrastructure projects, focusing on Microsoft Azure and 365 technologies. They lead projects on cloud, server, networking, storage, and security, requiring knowledge of Windows Server, Active Directory, and VMware. The role demands strong problem-solving and communication skills, along with a commitment to continuous learning.

Investigate broken pipeline workflows, manage ETL batch cycle process, curate workflow solutions, expand data governance, facilitate project transitions, enforce file delivery, DBA responsibilities, point person for nightly entity batch, coordinate with departments for workflow creation and troubleshooting.

As a Weather Data Scientist at CCI, you will enhance weather forecasting models, conduct research, and manage the ingestion and analysis of vast weather data sets. Your role involves applying machine learning and time series analysis to improve model accuracy and provide valuable insights into weather patterns.