Top Hybrid Analysis Reporting Jobs
The Senior Financial Analyst will handle regulatory reporting functions, including major tasks such as calculating weekly reserve computations, preparing monthly FOCUS reports, and managing compliance with regulatory examinations. This role involves process improvement, team training, and requires a critical thinker with a strong attention to detail and experience in broker-dealer accounting.
Lead meetings with cross-functional teams to drive decision-making and alignment on supply forecasts. Set key target levels across supply chain, assess safety stock need, and establish inventory strategy for key items. Develop and execute supply step in Sales and Operations Planning process.
The Sr. Data Product Analyst at Chamberlain Group will collaborate with business partners to develop data-driven solutions, create data models and dashboards, ensure data accessibility, and lead data product adoption. The role involves acting as a subject matter expert in data products and influencing business decisions through data insights.
As a Senior Manager, you will oversee multiple projects, ensure the accuracy of clinical data, and manage operational activities within your division. You will guide your team in developing data management plans, implementing quality data capture solutions, and anticipating talent development needs. Your role is critical in achieving project objectives and promoting knowledge sharing across teams.
As a Senior Scientist in GPCR Pharmacology at Pfizer, you will lead in vitro studies to explore molecular pharmacology and develop novel therapeutic targets related to metabolic diseases. You will engage in research collaboration, mentoring junior scientists, and advancing drug discovery efforts through innovative strategies and scientific findings.
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The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.
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.
The role involves developing autonomous weapon systems, modeling and simulation support, and conducting operational analysis. Candidates will work collaboratively with project teams and handle system trade studies and proposal development.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
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.
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
Top hybrid Companies Hiring Data + Analytics Roles
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