Top Data & Analytics Jobs
The Data Strategist will collaborate with various teams to define KPIs, analyze marketing data, interpret trends, and translate data analyses into actionable insights. They will present findings to clients and internal stakeholders, leveraging tools such as Python, Excel, and Tableau. A key focus is on digital marketing strategies and social media analytics.
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.
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The Scientist II/Senior Scientist will oversee AAV purification processes, managing both internal and external CDMO operations. Responsibilities include optimizing large-scale purification techniques, mentoring junior staff, conducting process characterization, and ensuring compliance with regulatory standards. The role requires strategic thinking and problem-solving to enhance process development.
Seeking a Data Scientist with expertise in data exploration, collection, categorization, analysis, and presentation. Responsible for tracking impact of legislative bills, analyzing data, and supporting strategic initiatives for criminal justice reform.
The Big Data Architect is responsible for re-architecting the Data Model and Access Platform using Big Data technologies. This role requires providing technical direction to create a scalable data platform that supports analytics for security-related datasets, leveraging extensive experience with data implementations and open-source projects.
The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.
As a Data Engineer I, you will develop and maintain data extraction systems and production data pipelines, transforming raw data into actionable insights. Collaborating with senior engineers, you will implement best practices in software engineering and contribute to enhancing existing data flow systems.
The Business Development Analyst will collaborate with the team to develop dashboards, conduct market research, and assist in identifying and qualifying bid opportunities to support organizational growth.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
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