Top Data & Analytics Jobs
The Operations Analyst will handle client billing setups, create invoices, analyze billing data, and ensure accuracy in billing processes. The role requires strong attention to detail, accountability, and the ability to work under deadlines, contributing to statistics for analysis and maintaining confidentiality of sensitive information.
The Senior Data Scientist will develop and implement time series forecasting models, utilize Microsoft Azure for machine learning, conduct data analysis to support decision-making, mentor junior members, and ensure ethical data handling. They will work independently on complex projects and stay updated on emerging trends in technology.
The Market Data Administrator at S4 Market Data will manage client project administration and service delivery, handling inquiries related to market data contracts and inventory management. Responsibilities include overseeing inventory, procurement, invoicing, and supporting lead analysts with project tasks and analyses primarily in Excel.
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The Deposit Accounts Data Entry Specialist is responsible for maintaining and validating deposit account information as per banking standards, performing file maintenance, capturing signatures, analyzing reports, and ensuring data integrity. The role requires responding to inquiries related to account issues and compiling reports on deposit account maintenance activities.
The Data Analytics Engineer is responsible for designing and maintaining data pipelines, models, dashboards, and reports to facilitate data-driven decisions. They will work with various stakeholders to understand data needs and ensure reliable data solutions.
As a Principal Data Architect at Oleria, you will design and build large-scale, distributed data architectures focused on security and performance. You will work with cloud data technologies, particularly AWS, and develop efficient data ingestion and analysis systems to enhance AI-driven security insights. You will also mentor future data leaders within a collaborative, innovative environment.
The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
As a Senior Data Engineer at PayZen, you will design and maintain data pipelines, optimize data flow, and collaborate with cross-functional teams on scalable FinTech solutions aimed at improving healthcare financial access and affordability.
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