Top Remote Entry Level Analysis Reporting Jobs in Philadelphia, PA

The Merchant Payment Processing Analyst will ensure efficient merchant payment processing by monitoring systems, analyzing payment data, resolving issues, and optimizing processing systems while collaborating with technical teams. In-depth analysis of network costs and payment fees is required, with the use of SQL and Python for data analysis and reporting.

The Growth Analyst will support go-to-market functions across marketing, sales, business development, and customer success, focusing on delivering a great customer experience to facilitate rapid growth. Responsibilities include partnering with leadership and understanding customer needs to drive critical growth initiatives.

The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.

The Data Analyst will transform data into actionable insights through lifecycle analysis, develop analysis and reporting capabilities, and improve data pipelines and ETL processes, ensuring quality and performance for automotive dealership partners.

As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.

As an Analyst in the Holt Group, you will handle quantitative analyses, presentations, and reports, alongside conducting financial, legal, and product research. You'll also focus on financial modeling while enjoying a collaborative work environment that balances remote work and office collaboration.

The Research Associate will work on data collection for an AI startup, conducting data analysis, providing feedback on AI performance, and learning new software skills. Responsibilities include executing use cases, documenting failures, and collaborating in a fast-paced environment.