Top Hybrid Analytics Jobs
The Technical Services Analyst is responsible for troubleshooting IT issues, fulfilling service requests, managing IT assets and inventory, assisting in IT project tasks, and improving service processes through collaboration and learning. The role involves providing technical support for Microsoft and MAC systems and ensuring effective user assistance.
The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.
The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
The Data Analyst will provide analytical support across departments, running database queries, creating business intelligence dashboards, and programming tools using Python, Java, or R. Responsibilities include project analysis for clients, refining business data, and enhancing internal tools for efficiency.
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The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
As a HRIS Analyst, you will support and manage the Dayforce HRIS platform, ensuring data accuracy and integrity. Collaborating with HR and IT, you will optimize the system's functionality, provide reports, troubleshoot data issues, and assist in HRIS projects. Additionally, you will maintain compliance and build relationships across the organization to enhance HR processes.
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As an Analytics Feature Engineer, you'll work with data scientists to preprocess, transform, and create features from raw data for machine learning models. You'll monitor feature performance, optimize data pipelines, and ensure data quality using tools like Airflow and Databricks, while collaborating across teams.
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
The Revenue Operations Analyst optimizes revenue processes and performance by managing the revenue forecasting tool, analyzing sales data, and reporting performance metrics. This role involves enhancing sales operations through data-driven insights and collaborating with sales teams to improve forecasting accuracy and sales processes.
The Operations Support Agent will review and upload documents to client accounts, perform data entry, and ensure the protection of sensitive client information. This entry-point position provides an opportunity for growth within the company while collaborating with various departments.
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