Top Data & Analytics Jobs

The Senior Data Analyst (CX) will analyze customer support data, optimize processes using automation and AI tools, and present insights to improve customer experiences.

Lead design, build, and maintain complex ETL/ELT data pipelines and integration solutions to support analytics and reporting. Ensure data quality, optimize processing for performance and scalability, monitor pipelines, document data lineage and procedures, and collaborate with stakeholders and analysts to resolve data issues and requirements.

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

Perform data analysis on complex spreadsheets, benchmark and research data to identify trends and insights. Collaborate with writers, engineers, and strategists to validate and implement findings, create charts and visualizations, and deliver timely, client-facing deliverables as a US-based freelance contractor.

The Revenue Analyst will analyze large datasets to optimize revenue, support forecasting, market research, and develop analytics tools, collaborating with multiple departments to enhance financial performance.

As the Director of Analytics, you'll lead analytics for MyPrize, optimizing performance across teams, developing reporting tools, and informing data infrastructure.

Lead data infrastructure and business systems including Salesforce, Okta, ETL, and BI tools. Build analytics/reporting (ARR, renewal schedules, cohort analysis), manage data pipelines and integrations, oversee IT admin across offices, and deliver product and GTM analytics to inform leadership decisions.

The Sr Data Analyst Consultant will focus on data analysis related to data warehousing and ETL processes, requiring prior BA and QA experience, as well as knowledge of billing systems and Time Warner Cable.

The Data Architect will establish data governance, manage master data, define data strategies, and ensure compliance with architecture standards.

The Marketplace Quant will apply quantitative skills to pricing and financial data, evaluate models, design incentives, and enhance marketplace efficiency.