תיאור המשרה
Description
About us
Candivore was founded in early 2018 with the purpose of creating great entertainment for mobile users around the globe. Our flagship game - Match Masters, an innovative multiplayer match 3 puzzle, is played by millions of players and we’re focused on making it even better with more players joining each day.
About the job
About the job
We are looking for a seasoned Data & Business Analyst with a deep passion for gaming to join Candivore and the Match Masters team. You will play a leading role in developing our ability to analyze data and make strategic, data-informed decisions. You will collaborate closely with the rest of the team to create innovative, data-based approaches to solving difficult business and product problems. Your output will become an indispensable resource for our team, who will rely heavily on your insights to inform critical decisions in our business.
Responsibilities
Responsibilities
Lead analytical initiatives across multiple domains (Product, Monetization, Economy, and Operations), driving impact at scale
Own the design, execution, and analysis of experiments to deeply understand player behavior, optimize product features, and improve monetization strategies
Leverage advanced analytics and AI tools to uncover opportunities, generate insights, and drive smarter decision-making processes
Create and deliver compelling, insight-driven presentations to senior stakeholders, translating complex data into clear strategic recommendations
Proactively identify business opportunities, define key metrics, and influence decision-making across teams
Mentor and support other analysts, promoting best practices and a high standard of analytical excellence
Requirements
Requirements
MUST HAVE: 5+ years of experience analyzing complex products with massive reach and large data sets
Proven experience leading analytical projects and influencing stakeholders
Experience working in the gaming industry
Exceptional analytical and business mindset with advanced problem-solving skills
BS degree in math, statistics, or equivalent
Fluency in SQL and strong experience with large-scale data environments
Strong storytelling skills with the ability to translate data into strategic insights
A highly detail-oriented, organized individual with excellent communication skills at all levels
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