Top Data & Analytics Jobs

The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

Support Salesforce CRM operations for global ads sales: gather and document requirements, maintain workflow documentation and governance, administer CRM configurations, monitor data quality, build reports and dashboards, analyze seller behavior, support UAT and releases, and coordinate cross-functional rollouts and training.

Design, build, and maintain cloud data warehouse solutions and scalable ETL/ELT pipelines using dbt, SQL, Python, and AWS services. Develop dimensional data models, curated data marts, and reusable transformation frameworks to support reporting, self-service analytics, operational apps, and AI initiatives. Collaborate with stakeholders, follow CI/CD and testing practices, and optimize performance and scalability of data workloads.

The Quality Systems & Data Analyst will improve digital quality systems and data-driven processes, enhancing decision-making and performance across operations and manufacturing by developing dashboards, analyzing data, and partnering with various departments.

Lead the design and documentation of system requirements and solutions. Act as a liaison between IT management and business, ensuring specifications are met for technology applications and integration.

The Senior Data Engineer will design and manage petabyte-scale data pipelines, ensuring data quality and architecture for operational decision-making and ML training.

The Data Entry Specialist will input and organize information about office buildings for landlords, ensuring data accuracy and optimizing property management efforts.

Support CRM (Salesforce) operations for ads sales: gather and document requirements, maintain CRM workflows and governance, troubleshoot operations, monitor data quality, build reports and dashboards, analyze seller behavior and adoption, and coordinate cross-functional rollout and UAT activities.

Manage and validate investment manager data, liaise with external managers and internal teams, perform calculations (TWR, IRR, Modified Dietz), resolve data issues, oversee outsourced data entry, create documentation and training, and drive process improvements using Excel and internal tools.