GameOps is looking for a Business Analyst to provide dedicated support for one of the largest global independent studios, known for its innovative and immersive gaming experiences, and commitment to delivering next-generation AAA games.

As a Business Analyst, you will be supporting the Sales and Marketing team, focusing on revenue prediction models and monetization metrics. You will develop forecasting models for e-commerce promotions and overall sales performance, delivering actionable insights. Working collaboratively with the data analytics team, you'll leverage data resources to optimize revenue streams and evaluate promotion effectiveness, while creating visualizations that help stakeholders understand customer behavior and identify opportunities to enhance monetization.

Key Responsibilities:

Revenue Analytics & Forecasting

Revenue Prediction Modeling: Develop and refine monetization metrics and revenue prediction models using historical data and pattern analysis. E-commerce Promotion Forecasting: Build and maintain predictive models for e-commerce promotions, delivering accurate short and long-term forecasts to Directors and Executives. Performance Analysis: Conduct thorough post-promotion analysis to measure effectiveness, identify success factors, and provide insights for future optimization. ROI Assessment: Evaluate promotion performance against forecasts, calculate return on investment, and identify opportunities for improvement.

Data Management & Visualization

Multi-Source Data Analysis: Extract, transform, and analyze data from multiple sources (internal, Google Analytics, Mail Chimp) using SQL and other tools to support sales decisions and strategy development. Dashboard Development: Create and maintain Tableau and Microsoft Suite visualizations and reports that clearly communicate sales metrics and promotion performance to stakeholders. Quality Assurance: Ensure accuracy and integrity of data outputs, forecast inputs, and daily sales operations reporting.

Strategic Collaboration

Insight Development: Transform analytical findings into actionable recommendations for the Sales Director and senior leadership, combining qualitative and quantitative insights. Stakeholder Collaboration: Work closely with business leaders to understand business objectives and translate them into measurable KPIs and analytical frameworks. Process Improvement: Identify and implement opportunities to automate reporting processes and enhance analytical methodologies. Cross-functional Support: Collaborate with the Data Solutions team to maintain data quality and with the Player Behavior and Marketing Analyst to connect marketing with purchase behavior. Process Improvement: Monitor key sales metrics to proactively identify trends, opportunities, and potential challenges; identify opportunities to automate reporting processes and enhance analytical methodologies