Top Data & Analytics Jobs in Greensboro, NC
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The Senior Product Data Analyst role involves analyzing product usage and customer outcome data to influence product features and operational efficiency. Responsibilities include building data models, developing reports and dashboards, optimizing data utilization for strategic decisions, and collaborating with multiple departments to support business needs.
The Senior Analytics Engineer will drive data modeling, optimize analytics processes, and collaborate with cross-functional teams to enhance product operations at HubSpot. Responsibilities include managing high-value data assets, creating scalable data models, and defining standards for analytics practices.
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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 efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
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.
The Mid-Tier Database Administrator will manage SQL Server databases in a Windows environment, focusing on administration, performance tuning, security compliance, backup and recovery, and automation. They will collaborate with developers on database design and implement scripts for efficient operations.
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