Top Hybrid Analysis Reporting Jobs
The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.
The Implementation Analyst is responsible for customer enablement and onboarding of D&B product solutions, focusing on D&B Hoovers and Finance Analytics. This includes executing onboarding activities, educating customers on product capabilities, communication, and resolving any roadblocks during the onboarding phase.
The Senior Oracle Cloud ERP Analyst will manage and enhance the Oracle Cloud ERP finance system, maintaining modules like GL, AR, AP, and Procurement. Responsibilities include creating custom reports, supporting month-end closure, optimizing processes, and coordinating with Oracle Support and internal teams for effective operations.
The Paid Search (SEM) Analyst at Koddi will create and optimize SEM campaigns for various clients in the travel marketing sector. Responsibilities include analyzing performance, building reports, and ensuring accurate tracking. The role demands strong project management skills, attention to detail, and effective communication.
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The Analyst II Audit will enhance operations through effective compliance, risk management, and internal controls. Responsibilities include conducting audits, assessing compliance with regulations, documenting findings, and recommending improvements. The role requires strong analytical skills and the ability to handle large data sets, with a focus on protecting the company's assets.
The Senior Oil Refining Analyst/Modeller at Kpler will enhance existing tools and develop new models for refinery activity analysis. Responsibilities include conducting complex analyses, producing market insights, collaborating with sales and technical teams, and communicating findings through reports and presentations.
As a Clean Products Analyst at Kpler, you will ensure data quality through the collection and analysis of refined products data, respond to client requests, collaborate with engineering teams for data processing improvements, and provide strategic insights on market trends.
As a Senior Market Data Analyst, you will ensure high data quality for specific regions and commodities, continuously improve data processing efficiency, monitor market news for patterns and trends, and respond to ad-hoc client requests while supporting sales and customer success teams.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
The Senior Consultant leads clients through transformational data and analytics strategies, collaborates with leaders to address business challenges, and contributes to consulting practice enhancement while managing teams on analytics initiatives.
As a Data and Analytics Senior Consultant, you will lead transformational change by designing and executing data and analytics strategies, collaborating with customers to address business challenges, and contributing to the growth of the consulting practice through exceptional service and business development.
The Implementation Analyst at OpenGov is responsible for managing new customer implementations of the OpenGov platform, providing guidance and support throughout the process. This role involves interacting with government leaders, simplifying operational processes, and collecting customer feedback to enhance the product. Strong data analysis and Excel skills are essential.
The Principal Engineer will lead the Operations Analysis team to deliver analytical products guiding business strategy and product development. The role involves designing rigorous analyses, supporting requirements definitions and effectiveness studies for military operations, enhancing internal modeling and simulation capabilities, and presenting analytical findings to stakeholders.
The AI scientist will modify and fine-tune large language models to improve human interaction, enable external tool calling, manage model alignment based on deployment feedback, and engage in model pre-training. Strong expertise in generative AI and MLOps is essential, along with proficiency in AI frameworks like TensorFlow and PyTorch.
As a Research Scientist, you will develop solutions for quantum technologies within Q-CTRL's product suite, focusing on improving performance using innovative machine learning methods and quantum control techniques. Your role will include collaboration with the quantum product team to direct research goals and documenting complex solutions in accessible language.
Top hybrid Companies Hiring Data + Analytics Roles
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