Top Entry Level Data & Analytics Jobs in Atlanta, GA

As a Data Analyst in Integrations at dv01, you will engage with structured finance, analyzing large datasets and working with engineering teams to develop solutions. You'll communicate with financial clients and enhance your skills in data analysis beyond Excel. This role will deepen your understanding of financial markets and analytical tools.

The User Experience Analyst at Lone Rock Point will research user needs and measure alignment with usability standards while contributing creative ideas to enhance customer experience. Responsibilities include conducting user research, designing wireframes, engaging with clients, and implementing user-centered design methodologies.

The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.

As a Blockchain Intelligence Analyst, you will analyze and report on the crypto economy to detect suspicious activities, utilizing OSINT and blockchain expertise. Collaborating with cross-functional teams, you will produce actionable intelligence and insights to aid law enforcement against cryptocurrency fraud.

As a Workday Reporting and Analytics Consultant, you will design and implement reporting solutions using Workday tools, conduct client sessions to analyze business needs, and provide subject matter expertise on best practices. You'll work closely with project teams to ensure effective reporting and maintain your Workday certifications while contributing to continuous improvement initiatives.

The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.

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.