Top Data & Analytics Jobs
As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
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The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
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As a Senior Analytics Engineer, you will develop and optimize a scalable data warehouse, transform event data for analysis, and ensure accurate data capture through server-side tracking. Collaboration with stakeholders and ownership of data definitions and pipelines will be key to understanding customer behavior and driving business outcomes.
The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.
The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.
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The Data Engineer I is responsible for developing systems to collect, transform, store, and manage data. This includes building data pipelines, optimizing them, writing tests, and collaborating with peers to solve data issues. The role involves applying coding standards and techniques to support various data use cases.
As a Business Analyst, you'll analyze large datasets, providing strategic business recommendations using SQL, Excel, and PowerPoint for storytelling. You'll influence executive decisions, demonstrate Covera’s impact on healthcare outcomes, and manage multiple workstreams in a rapidly changing environment.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Staff Analytics Engineer, you will build and maintain the analytics data layer, leveraging your skills in SQL and data modeling. Your work will include developing data models for business intelligence, collaborating with stakeholders, and applying software engineering practices to optimize data processes.
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