Top Data & Analytics Jobs
The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.
As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.
The role involves developing quantitative fixed income and equity pricing models within the Investment Analytics Group, analyzing risk analytics systems, and managing an internal analytics library. The candidate will work with senior quants on various financial products and facilitate communication to resolve risk and financial issues.
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The Sr Data Scientist will design and validate predictive models for sales forecasting and customer segmentation, lead project lifecycles from conception to delivery, and analyze customer data to enhance experiences across channels. They will collaborate with various teams and mentor junior data scientists.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
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.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
The AWS Big Data and Analytics Architect will develop and implement data solutions, define an analytical technology roadmap, and collaborate with business leaders to establish analytics strategies. The role involves mentoring team members, creating prototypes, and driving advanced analytics initiatives across the organization.
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