Top Remote Data & Analytics Jobs in Charlotte, NC

The Data Engineer II will build and maintain data infrastructure, focusing on creating scalable data pipelines, managing transformations, and ensuring data quality and security. Responsibilities include coding in Python and SQL, developing on AWS, leading projects technically, supporting data analysts, participating in code reviews, and implementing tooling for data governance.

The Risk and Underwriting Analyst will support NMI's risk management program by monitoring risk issues, conducting risk assessments, managing transaction reviews, and collaborating with banks and processors to ensure compliance and mitigate losses from fraud.

As a Data Analyst Mentor at Udacity, you will review project submissions and provide feedback to students, ensuring work originality and maintaining a review time of less than 8 hours. You'll respond to technical queries promptly on the Knowledge platform, offering thorough and accurate support to enhance student learning experiences.

As a Mentor for Data Analysts, you'll provide technical support and feedback on project submissions, ensuring originality and maintaining quick response times to student queries. You'll review projects, guide students through technical challenges, and help them develop essential data analysis skills.

As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.

The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.

The Senior Procurement Analyst will be responsible for handling the procurement process, managing vendor relationships, leading negotiations, and ensuring timely and cost-effective delivery of goods and services. Responsibilities include developing sourcing strategies, managing contracts, generating purchase orders, tracking orders and payments, coordinating with legal and finance teams, and providing procurement data analysis.

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.