Top Data & Analytics Jobs

The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes, collaborate with teams to meet data needs, optimize workflows, and troubleshoot issues. This role requires strong analytical and problem-solving skills while ensuring efficient data storage and compliance with governance practices.

The HRIS Analyst will coordinate projects, configure HR systems like Workday for Time Tracking and Payroll, ensure data integrity, analyze data flows, and drive process improvements. This role requires analyzing security setups, developing reports, and managing system updates while collaborating across teams.

As a Staff Data Analyst, you will lead data initiatives to maximize marketing impact, mentor team members, and provide strategic insights and recommendations. Responsibilities include overseeing the integration of data sources, analyzing marketing campaign performance, and generating reports for various stakeholders.

The Sr Compensation Analyst is responsible for analyzing and administering compensation programs to attract and retain talent, focusing on Field Operations. Tasks include evaluating market data for compensation, reviewing base and incentive programs, and ensuring compliance with regulations. The analyst will partner with HR and participate in salary planning cycles, while also working with compensation management technology.

The Analyst will conduct company-specific and industry-level research, build earnings models, perform valuation analyses, and make proactive investment recommendations. This includes direct communication and concise summarization of analyses.

As a Data + Automation Leader at Gensler, you will lead and innovate digital processes and technology solutions globally. You will focus on data-driven design, automation, and computational workflows, collaborating with teams to enhance project delivery and drive cultural change within the firm.

As a Contract Associate Scientist, you will execute various biophysical methods to generate data for process characterization, manage analytical requests, compile and present data, and assist in authoring technical documents. This role will support the Technical Development organization in gene editing processes.