Top Remote Data & Analytics Jobs in Atlanta, GA

The Senior Revenue Accountant will manage sales contracts, ensure compliance with ASC 606, perform deal analysis, and assist with financial reporting and audits.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

The Senior Product Data Analyst will lead product analytics, conduct deep-dive analyses, drive product decisions, communicate insights, and enhance analytics best practices at Mixbook.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

The role involves optimizing and managing Salesforce operations for various departments, driving Quote-to-Cash processes, and ensuring compliance while collaborating with other teams.

Create and maintain forecasting tools and datasets to analyze past consumption and predict future sales trends. Partner with Sales, Production, and Marketing to produce monthly forecasts, identify high-risk business, and support demand planning and reporting.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.