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Top Data & Analytics Jobs in Charlotte, NC
The Technology Operations Analyst provides technical support for various technology products and applications within Lowe's stores and corporate locations. Responsibilities include tracking problems, offering level 2 support over the phone, providing desk-side assistance, and managing technology deployments and repairs in stores. The role may require flexible working hours and on-call duties to support enterprise needs.
As a Senior Associate Data Architect at PwC, you will design and implement data architecture strategies, develop data models, and ensure compliance with governance policies. Your role involves building data pipelines and integrations using cloud platforms, collaborating with clients to address their data needs, and optimizing data storage and processing solutions for scalability and performance.
The role involves designing and implementing comprehensive data architecture and strategies for clients, developing data pipelines, and building scalable solutions using cloud technologies. Responsibilities include ensuring data compliance, collaborating with stakeholders, and optimizing resources for performance and cost management.
As a Senior Manager in Data & Analytics at PwC, you will design and build advanced data solutions, develop data pipelines, and integrate technologies to transform raw data into actionable insights. Leading a team, you will ensure quality delivery, maintain client relationships, and drive strategic initiatives that enhance practice growth through innovative technology solutions.
The Motorsports F1 Strategy Analyst will develop and refine race strategy tools using AI and machine learning, focusing on Formula 1 applications. Responsibilities include evolving existing models, creating simulation platforms, collaborating with diverse teams, and implementing effective visualizations to enhance race strategy insights.
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The Principal of Business Operations in Compliance oversees the compliance framework, ensuring operational alignment with regulatory requirements. This includes strategic leadership, risk management, and collaboration across departments to promote compliance. Responsibilities include managing projects, defining compliance strategy, and supporting the compliance leadership team.
The Manager of Ontology and Data Modeling at Capital One leads the development and implementation of enterprise ontologies to enhance data strategy. Responsibilities include guiding ontology-based product design, collaborating across teams for semantic integration, prioritizing project roadmaps, and mentoring junior associates while maintaining awareness of industry trends.
The EEO Compliance Data Specialist will gather, compile, and analyze workforce data to ensure compliance with EEO regulations. This role involves preparing reports, assisting with audits, and managing project compliance efforts related to Equal Employment Opportunity and Affirmative Action obligations.
As a Business System Analyst, you will administer Oracle Hyperion Planning, Essbase, and financial applications, document business and technical requirements, facilitate user acceptance testing, analyze processes, and create training materials while ensuring compliance with IT controls.
The Revenue Operations Analyst will analyze revenue data, optimize processes, and support go-to-market teams by identifying trends, generating actionable insights, managing performance metrics, and enhancing sales productivity through collaboration and best practices implementation.
The Data Analyst at RVO Health will analyze complex business, digital, and marketing data to provide insights that enhance customer experience and drive marketing strategies. Responsibilities include using statistics to discern data patterns, collaborating with business and data teams, creating visualizations, and developing data-driven recommendations for business optimization.
CapTech is seeking a Data Engineer to develop data pipelines and solutions using AWS, Azure, and GCP. Responsibilities include advising clients on cloud technologies, collaborating with teams to ensure effective data architecture, and delivering production data solutions. Strong problem-solving skills and a collaborative environment are emphasized.
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