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We are looking for a seasoned Data & Business Analyst with a deep passion for gaming to join us 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

Collaborate with colleagues across multiple domains (Product, Monetization, Economy and Operation) on unique challenges at large scale
Design and evaluate experiments to monitor key product metrics to understand better the root causes of changes in metrics and players behavior, optimize game features and monetization strategies
Provide ad-hoc reports and data analysis for various departments.
Draw meaningful conclusions and provide actionable insights from data to shape and influence business growth
Create and present data-driven reports to inform stakeholders on product performance, monetization and game economy stats

We are seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

Requirements:
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

Own the design of data models that transform raw data into actionable insights, and define their strategic use to inform decisions that fuel growth and optimize marketing strategies
Leverage technical skills to work with vast amounts of data, establish measurement frameworks, and analyze results to align activities with north star objectives and identify areas for growth
Conduct funnel and behavioral analyses, research key metrics, and extract actionable insights to enhance user journeys and uncover new opportunities
Collaborate with teams across Marketing and our company to understand business needs, translate them into data solutions, and align efforts with strategic goals
Create and execute A/B tests, evaluate results with statistical rigor, and provide deeper insights from detailed analysis to inform ongoing optimization
Build automated tools, design dashboards, and empower stakeholders to track and understand key metrics, making data both accessible and actionable for strategic decision-making.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.