Product Business Analyst

Summary

Join Fanatee, a mobile gaming startup, and leverage data insights to scale and maximize the performance of our games. Collaborate with multidisciplinary teams to identify opportunities and provide strategic direction for game growth. Translate data-driven analyses into actionable strategies and features, contributing to all stages of game development. As an analytical, creative, and results-driven leader, you will solve problems and enhance data analysis methods. You will utilize dashboarding tools and optimize data models for scalability. This role requires strong analytical and problem-solving skills, experience with large datasets, and proficiency in SQL and Python.

Requirements

• Strong experience analyzing large datasets and extracting actionable insights
• Develop and optimize SQL queries to extract, structure, and streamline data from multiple sources—such as Amazon Athena (S3-based querying), Oracle, and Hadoop-based data lakes—ensuring seamless accessibility and usability for data analysts
• Ability to code in Python (preferred)
• Demonstrated ability to work in fast-paced, dynamic environments with shifting priorities
• Experience handling, transforming, and analyzing complex, high-volume datasets from multiple sources
• Strong written and verbal communication skills
• 3+ years of experience in management, consulting, finance, or the tech industry
• Excellent analytical and problem-solving skills with a track record of data-driven decision-making
• Bachelor’s or Master’s degree in Business Administration, Economics, Engineering, or Computer Science
• Advanced English proficiency required

Responsibilities

• Identify and execute data-driven analyses to optimize user LTV and increase top-of-funnel acquisition
• Develop and manage growth roadmaps while coordinating data and developer teams' pipelines and resources
• Formulate and present clear, measurable product strategies and objectives
• Provide valuable business insights based on data analysis and demonstrate their impact on key product metrics
• Design and implement process improvements to enhance operational efficiency
• Improve monitoring and alerting capabilities to ensure data quality
• Optimize data models' performance and ensure scalability
• Research and develop new methods, tools, and technologies to enhance data analysis
• Utilize dashboarding tools such as Tableau, AWS Quicksight, or Microsoft PowerBI

Preferred Qualifications

• Experience with machine learning, statistics, experimental design, data mining, predictive modeling, or deep learning is a plus
• Experience working on global companies or global products is a plus

Benefits

• Competitive compensation
• VR + VT
• Health and Dental Insurance
• PLR
• Casual environment and dress code
• A space for resting moments, full of snacks, fruits, and drinks