Top Remote Data & Analytics Jobs in Raleigh, NC

The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.

The Multilingual Data Specialist at Dialpad will focus on enhancing Ai features for transcription and sentiment analysis in German and French. Responsibilities include data collection for ASR and NLP, providing linguistic expertise, designing workflows for data annotation, training annotators, ensuring data quality, and collaborating with the data science team throughout the project lifecycle.

The Analytics Representative at Sony Music is responsible for generating analyses and insights for the company's diverse roster of artists. This role involves utilizing various analytics tools, performing research on consumer behavior, and providing recommendations to drive commercial strategies. It's a part-time position aimed at students looking to gain experience in analytics within the music industry.

The Senior Analyst, Compliance will support the execution of compliance projects, conduct audits, engage with stakeholders, and help manage regulatory remediation efforts within the financial services sector. Responsibilities include coordinating efforts with internal teams and external consultants, preparing project materials, and driving process improvements.

The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.

As a Senior Support Analyst at SmarterDx, you will provide front-line technical support to clients, primarily clinical documentation specialists and coders in healthcare. Your responsibilities include troubleshooting issues, escalating complex problems, developing support documentation, and conducting user training, all while building strong relationships with users to enhance their experience.

As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.