Top Data & Analytics Jobs

The D365 Business Analyst will enhance operational efficiency in Supply Chain Management using Microsoft Dynamics 365, focusing on warehouse management, inventory control, and procurement. Responsibilities include configuring systems, developing training materials, and providing support for supply chain incidents.

The Competitive Intelligence Manager conducts in-depth research, analyzes competitive environments, and develops strategic insights to support business development and decision-making.

Design, develop, and support scalable Power BI (and QlikView) dashboards, data models, and reports. Collaborate with business stakeholders to gather requirements, create mock-ups, perform code reviews, implement role-based access, troubleshoot production issues, and deliver Jira story work within a Scrum team.

The Data Visualization Specialist enhances practice management data systems, focusing on data workflows, reporting, and stakeholder support, bridging technical systems and business users.

The Index Review Analyst will support the management of FTSE Russell indexes, handle data management, analyze corporate actions, and maintain client communications while meeting strict deadlines.

The Data Scientist Manager will oversee analytics projects, support campaign execution, manage data sets, and provide business-driven analytic solutions while collaborating with teams across the organization.

The Risk Investigator is responsible for identifying and mitigating risks in transactional activities, analyzing fraud indicators, and documenting findings while collaborating with various teams.

The role focuses on translating data into actionable insights, building reports and dashboards, and investigating business performance issues to support revenue growth and productivity.

Assist with tax consulting services related to state and local taxes by preparing returns, researching issues, and writing memos while developing client relationships.

The Data Quality Analyst reviews scientific data submissions for accuracy and completeness, supports data workflow development, and collaborates to improve data quality processes.