Top Data & Analytics Jobs in Charlotte, NC
The Sr. Analyst, Information Security will ensure the effectiveness and compliance of security controls, conduct internal control testing, manage risk assessment, collaborate with various teams, and support the IT compliance program while enhancing internal control design and policies.
The Lead Analyst in Information Security is responsible for leading projects and initiatives that enhance information security practices. The role entails facilitating organizational adoption of new technologies, managing stakeholder relationships, developing process improvements, and driving strategic alignment with business objectives. The analyst will utilize data analytics to measure outcomes, ensure compliance with security standards, and implement change management strategies.
The Sr Data Scientist will develop computer vision models and algorithms to enhance customer experiences. This role includes utilizing machine learning technologies, developing scalable applications, maintaining technical documentation, and training junior scientists. Key responsibilities involve executing complex projects using enterprise-level machine learning methods, ensuring best practices, and staying updated with industry trends.
The AI & GenAI Data Scientist-Manager at PwC will leverage advanced analytics to drive insights from large datasets. They will manage teams to develop AI solutions, mentor members, and ensure quality delivery while collaborating with clients on their business problems.
In this role, the IT & Cyber Senior Analyst will oversee the company's second line of defense risk management activities. Responsibilities include conducting control tests in technology and cybersecurity environments, consolidating testing results, assisting in reporting mechanisms, and implementing control enhancements based on results. The role requires collaboration with teams and evaluating access controls and security monitoring within AWS systems.
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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 People Analytics Manager will lead the development of HR and Recruiting dashboards, translate data insights into visual tools, manage a small team, ensure data integrity, and collaborate with internal teams to enhance dashboard capabilities.
The Deal Desk Analyst will support the closure of commercial deals, providing deal structuring and pricing support while collaborating with internal teams. Responsibilities include advising the sales team, managing deal queues, and ensuring smooth contract execution, with a strong focus on driving revenue growth.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.
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