Top Remote Senior Level Analytics Jobs in Wilmington, NC

The Web Analytics and Optimization Lead will develop and implement strategies to measure web traffic and conversions, conduct A/B testing, analyze user behavior, automate reporting, and collaborate with other teams to improve user experience and align analytics initiatives with business goals.

The Analytics Consultant collaborates with cross-functional teams to provide data-driven insights that enhance customer experiences and boost revenue. Responsibilities include developing measurement strategies, configuring analytics platforms, creating reports, and implementing A/B testing. Strong client engagement and internal collaboration are essential.

The Senior Executive Compensation Analyst will manage equity compensation administration, prepare meeting materials, conduct analyses, ensure compliance with compensation regulations, and support the development of proxy materials. This role requires collaboration with Legal, Finance, and Tax departments and involves managing third-party vendor relationships.

The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.

The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.

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.

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.