Top Data & Analytics Jobs in Raleigh, NC

As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.

OptionMetrics is seeking a skilled Database Administrator with expertise in managing MSSQL and PostgreSQL databases, optimizing SQL queries, designing complex stored procedures, and ensuring database stability and performance. The role involves working with Amazon AWS services, Git/GitHub, and collaborating with cross-functional teams to troubleshoot database-related issues.

The Accounts Payable Analyst processes and codes invoices and expense reports, manages vendor relationships, and monitors compliance and accounting operations. They are responsible for improving processes within the accounts payable function and gaining insights into the company's financial impact as it scales.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.