Top Data & Analytics Jobs in Raleigh, NC
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
The Chief Data Architect will lead data strategy and architecture efforts, design robust data architectures, oversee technology leadership, establish data governance, optimize data systems, mentor team members, and manage architecture projects within budget and scope.
The Senior Consultant/Engineer will deliver complex solutions in areas like analytics and data strategy, manage client engagements, and oversee project budgets. The role requires strong technical skills in SQL and data modeling, along with business acumen in managing client expectations and relationships.
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As an Associate Value Engineer, you will consult with customers to analyze business challenges, modify or create Celonis applications, execute proof projects, and build relationships to showcase the value of the Celonis platform. You will participate in a 12-month Orbit Program focused on client engagement and skills development within a supportive team environment.
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.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
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.
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
As a Sr. Analyst at CrowdStrike, you will focus on detecting, containing, and remediating cybersecurity incidents across various platforms, performing malware analysis, and providing recommendations based on your findings. You will also engage in incident handling and develop processes to enhance detection and responses to threats.
In this role, the Marketing Data Engineer will architect scalable ETL/ELT pipelines, manage cloud-based data warehouses, and develop data integration solutions. Responsibilities include collaborating with various teams to support analytics, ensure data quality, and optimize performance across data workflows.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
As a Campaign Analyst, you will optimize digital advertising campaigns and ensure operational efficiency by collaborating with multiple teams, creating processes to track campaign outcomes, and developing dashboards for insights. You will leverage data analysis and problem-solving skills to meet client requests and improve data quality across systems.
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