Top Data & Analytics Jobs
The Geospatial Intelligence (GEOINT) Analyst will provide timely and accurate GEOINT analyses and assessments in support of military operations. Responsibilities include applying analytical methods to produce geospatial datasets and visualizations, developing GEOINT policy for projects, and coordinating with various agencies to enhance intelligence efforts.
Seeking a Senior Database Administrator (DBA) to optimize and automate database systems, collaborate with teams, troubleshoot issues, and mentor junior members. Requires 8 years of RDBMS experience, proficiency in SQL and Oracle, and hands-on experience with automation tools and scripting languages. Preferred qualifications include a Bachelor's degree, experience with Ansible, Chef, Puppet, and cloud database platforms.
The Data Engineer will design, develop, and maintain data architecture and pipelines, optimize data sources, implement cloud security, and mentor analytics professionals. They will work on complex data problems, foster best practices, and code in SQL to create curated data products.
Featured Jobs
The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.
The Associate Data Advisor will support commercial teams by responding to data requests, analyzing data usage, and providing strategic recommendations. This role involves collaborating with internal teams and external partners to enhance data adoption and campaign effectiveness, alongside operating the Data Desk and managing sales opportunities.
The Associate Data Advisor supports commercial teams by responding to data requests and analyzing data usage. They become experts on Eyeota and Dun & Bradstreet data products, providing recommendations and strategies for clients' campaigns. The role involves collaboration with internal and external stakeholders, managing data proposals and the RFP pipeline, and helping drive data adoption across accounts.
The Data Scientist - Bigdata Engineer role involves data conversion, report building, and data transformation processes using technologies such as Snowflake and SAS Viya. Responsibilities include collaborating in an agile team for system modernization efforts, developing reports for compliance, managing data quality, and utilizing advanced analytics for strategic decision-making.
Research Scientist position at KLA, a global leader in electronics for the semiconductor manufacturing ecosystem. Responsibilities include hands-on experience in semiconductor fabrication, device physics simulations, data analysis, vendor management, and technology roadmap development. Doctorate degree and 3 years of related work experience required.
Join a leading fintech company that is democratizing finance for all. As a Machine Learning Engineer focusing on Fraud and Risk at Robinhood, you will collaborate with cross-functional teams to detect and reduce risks through the design and implementation of machine learning systems.
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
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