Top Analytics Jobs in Raleigh, NC
As an AI Research Scientist at Phaidra, you will develop novel algorithmic architectures for intelligent control systems, collaborate with other researchers, and apply advancements in machine learning, reinforcement learning, and optimization to real-world industrial problems.
The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.
The Customer Operations Analyst will lead the development of KPIs for tracking customer success and team performance. They will initiate and design executive business reports, improve internal processes, collaborate with various departments, and support leadership with projects. Key responsibilities include enhancing data capturing in Salesforce and analyzing retention metrics.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
The EDI Configuration Analyst will support electronic data integration workflows by collaborating cross-functionally to implement streamlined solutions and manage data file exchanges critical for client success. Responsibilities include ensuring timely project execution, leading client training, troubleshooting data sharing issues, and acting as a technical resource.
As a Professional Services Analyst, you will execute research projects, build narratives with data, provide strategic guidance to clients, and present findings to stakeholders. You will need a strong understanding of consumer insights and experience in data analysis, alongside the ability to create engaging data visualizations.
The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.
The Sr. Power BI Expert will design and develop visualizations in Power BI, create calculated measures using DAX, publish reports, and collaborate with stakeholders in an Agile environment to derive actionable insights from complex data.
As a Senior GTM Data Analyst, you will partner with the Marketing team to provide insights and drive decision-making through the management of key dashboards, ad-hoc analyses, and the definition of KPIs. Your role will enhance data infrastructure and ensure data quality while collaborating with various teams to support growth strategies.
The job involves collecting, processing, and analyzing data to support AI-driven decision-making and product development. Responsibilities include data cleaning, validation, transformation, and extraction from various sources, as well as collaboration with data scientists on machine learning projects.
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