Top Hybrid Analysis Reporting Jobs
The IT Customer Experience Analyst will lead the digital adoption initiatives, focusing on improving user engagement with digital services. Responsibilities include managing the 'Go Digital' campaign, ensuring timely execution of action plans, tracking progress, measuring success, and reporting updates to leadership. The role emphasizes user training and minimizing call escalation to customer support.
As a Global Services Data & Business Analyst, you'll assist the Global Services Business Intelligence & Operations team by conducting quantitative analysis, developing key performance indicators, creating data visualizations in Tableau, and collaborating with various stakeholders to outline project milestones. Your role involves ensuring data accuracy and integrity, as well as automating reports.
The Marketing and Inside Sales Data Analyst will support data analysis and reporting needs within the marketing and inside sales department, focusing on campaign optimization and assisting finance with performance results. Responsibilities include performing ad hoc analyses, integrating new acquisitions, producing datasets and reports, and collaborating across functions.
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.
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.
As a Senior Associate, you'll collaborate with a team to address complex business issues spanning strategy to execution, utilize various tools to extract insights, and ensure quality and accuracy in deliverables while supporting client objectives through informed data management strategies.
Featured Jobs
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
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.
As an Intelligence Analyst II, you will lead in identity resolution and data integrity processes, provide operational support for terrorist watchlisting nominations, and respond to complex information requests using various databases. This role requires strong analytical skills and effective communication to navigate intricate organizational structures.
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.
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