Top Data & Analytics Jobs

Design, develop, and support ETL solutions using Informatica PowerCenter and Cloud integrating Salesforce, Oracle, SQL and flat files. Lead ETL architecture, reusable components and best practices, manage high-volume cloud data loads within SLAs, implement proactive error handling, schedule jobs with AutoSys, provide production support on rotation, and collaborate with distributed teams. Scripting (Perl/Shell), Apex and BusinessObjects reporting exposure desired.

Lead and manage the BI team to develop and deploy BI strategies, dashboards, and analytical models. Ensure data quality, governance, integration, and actionable insights; partner with stakeholders to translate needs into BI solutions and support organizational reporting and process improvements.

Analyze purchasing opportunities and market trends to prevent stock outs and pricing losses. Collaborate with QC and sales, create purchase orders, produce regular reports, and support data-driven decision making.

Contract SQL Developer positions (W2) for AZ, MN, and NC. Posting provides no specific responsibilities or technical requirements beyond the SQL developer title.

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

The Enterprise Analytics Lead oversees Albany's analytics ecosystem, focusing on Microsoft technologies and SAP data integration, enabling advanced analytics and reporting while ensuring data governance.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

The Senior Data Engineer will optimize the data platform, build scalable data pipelines, improve data access and quality, and establish data engineering discipline within the company.

Lead the implementation team for Rillet's ERP platform, managing customer onboarding and optimizing processes while mentoring team members and collaborating with cross-functional partners.

Build and own the core data models and pipelines connecting product usage, accounts, revenue, billing, and customer health. Create trusted metrics, dashboards, and self-serve reporting. Partner with Product, Engineering, and GTM teams to improve data quality, design AI-enabled workflows and agents, and support leadership with accurate visibility into adoption, pipeline, retention, expansion, and revenue.