Top Hybrid Data & Analytics 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.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
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 Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Data Analytics Consultant, Claims designs and models organizational data to provide insights for business operations. They build dashboards, report findings, and identify IT solutions for enhancing analytics, while guiding new team members and collaborating across analytical teams.
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The Data Scientist PhD Intern will collaborate with data scientists and engineers to develop advanced analytics and machine learning solutions. Responsibilities include conducting research on complex data challenges, impacting products, presenting findings to stakeholders, and working on data-driven product innovations.
The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.
As a Senior Associate at PwC, you will leverage advanced analytical techniques to extract insights from large datasets, helping clients optimize operations and make informed business decisions. You'll be involved in building AI and GenAI solutions, including model development, prompt engineering, and integration, while managing client relationships and enhancing technical expertise.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to derive insights from large datasets, addressing client needs through the development and implementation of AI solutions. You'll collaborate with clients to identify business problems, build GenAI architectures, and manage analytics operations, while ensuring adherence to professional standards.
The R&D Head for Digital, Data, and Technology at Takeda leads the integration of AI, data, and digital technologies across R&D. This role focuses on enhancing the speed and quality of discovering, developing, and delivering innovative medicines, and manages the digital transformation efforts company-wide.
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 an Associate Director in Advanced Analytics, you will lead the execution of the advanced analytics strategy for Takeda's Oncology Business Unit, focusing on data-driven decision-making to support commercial growth. Your role involves designing and executing key analytics, developing standardized frameworks, and engaging effectively with business users, all while leveraging advanced data science methodologies and analytics tools.
The Senior Business Analyst at Capital One Shopping is responsible for analyzing business challenges, performing product modeling, supporting marketing efforts, and enhancing credit risk strategies. The role requires collaboration across various teams to implement improvements and drive business growth through strategic and analytical insights.
As a Senior Business Analyst at Capital One, you will analyze business challenges, recommend strategic improvements, assist in product modeling and marketing efforts, develop credit risk models, and collaborate with cross-functional teams to enhance business performance.
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.
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.
As a Sr. Configuration Management Analyst, you will support configuration management activities for complex defense systems, develop and execute management plans, ensure compliance with contracts, manage product data, and mentor others in configuration management processes.
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.
The Private Capital Analyst will support reporting, analysis, and presentations within the Private Capital department. Responsibilities include producing performance reports, assisting in investment recommendations, monitoring market movements, and conducting credit analysis.
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