Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
3+ years of data/product analysis experience in a fast-growing consumer company, with specific background in fraud detection and prevention
Strong technical foundation with SQL expertise and experience using BI tools like Looker, Tableau, or Mixpanel
A/B testing expertise and comfort working with large datasets to drive data-driven decision making
Cross-functional collaboration skills - you'll work closely with product managers, data engineering, and data science teams
Clear communication abilities in English, with experience presenting technical information to diverse stakeholders
Educational degree in Industrial Engineering, Mathematics, Statistics, or equivalent experience
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture

Requirements:
3+ years of experience in quantitative analysis on large data sets, preferably from an online/tech company
Education in a field emphasizing quantitative analysis (such as industrial engineering, finance, statistics, economics, etc.)
Proficient in SQL - writing, optimizing, and managing complex queries
Hands-on experience with Python/R for advanced analysis, or leveraging AI/ML/LLMs for insights as well as data visualization tools such as Tableau and Power BI - an advantage
Excellent visualization and presentation skills
Highly independent, proactive, and a fast learner, capable of prioritizing in a dynamic environment and fostering cross-functional collaboration
Solid understanding of A/B testing methodologies and statistical principles for effective experiment design, execution, and interpretation.

Requirements:
Passion for games
2+ years of experience in Game Economy - a must
Bachelors Degree in Economics, Mathematics, Statistics, Engineering, or a similar quantitative field
Great analytical skills, ability to spot patterns and trends
An Excel Expert
Critical Thinking and Creative Problem Solving

Requirements:
A business-oriented mindset focused on delivering results.
Sharp analytical skills to uncover insights and solve complex challenges.
A true team player-collaboration is central to innovation!
Someone who takes initiative and approaches challenges with confidence and curiosity.
2+ years of experience in Business Analyst (Gaming industry- must)
Experience building dashboards using modern BI tools
Strong ability to explain complex data concepts and insights to non-technical audiences
Extensive SQL skills and experience working with large, complex datasets
Strong presentation and communication skills and proficiency in English

Requirements:
1-3 years experience in data analysis, preferably in a complex business environment. Application of Magna Cum Laude graduates from top universities with no prior experience will be considered as well.
Strong SQL skills with experience in querying large, complex data sets.
BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background.
A strong foundation in statistical methods and data modeling.
Experience working with Cloud Data Warehouses (Redshift, Big Query, or Snowflake).
Quick learner, proactive/can-do attitude with high attention to detail.
A strong sense of ownership, leading data initiatives from end to end independently.
Ability to work in a fast-paced environment.
Creative and critical thinking skills.
A team player with strong analytical and problem-solving skills as well as a business sense.
Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively.
Advantages
Previous experience as a Marketing Analyst / Monetization Analyst / Close collaboration with similar teams.
Experience with Marketing and User Behaviour analysis methods and models: Campaigns optimization, Retention, User activity funnels, etc.
Hands-on practical knowledge in A/B testing to facilitate data-driven decision-making processes.
Knowledge of Python for data prep, analysis and statistical modelling.
Knowledge of statistics and experience using statistical packages for analyzing datasets.
Experience working with BI tools for data visualization (Preferably Power BI or Looker).
Experience in a tech company.
Passion for Sport.

Requirements:
Education: Honors graduate from a recognized university in Statistics, Mathematics, Economics, Industrial Engineering, or a similar quantitative field (GPA 80+).
Technical Proficiency: Advanced SQL skills and high proficiency in Microsoft Excel for complex data modeling.
Data Visualization: Hands-on experience using tools such as Looker, Tableau, or Power BI to create actionable reports.
Analytical Rigor: Proven ability to organize and analyze large, disparate datasets to find "the needle in the haystack."
Communication: Fluency in English with the ability to present technical data to non-technical audiences.

Requirements:
2 + years of experience as a Product Analyst / Data Analyst / similar positions, preferably from online B2C companies.
BA / BSc in Industrial Engineering and Management / Information Systems / Engineering / Economics / Statistics / Mathematics /similar background.
Curious, loves to solve complex problems with a strong business orientation.
Strong SQL experience querying large, complex data sets - Must.
Experience in building Bl visualizations and dashboards.
Knowledge of Python for data analysis and basic ML (pandas, scikit learn) - an advantage.

Requirements:
A proficient analyst: 5+ years of experience in a BI/Data/Product Analyst or similar role from at least two different companies, preferably in a SaaS environment, working closely with product teams to define, track, and analyze KPIs.
BI Technologist: Expert in BI tools (e.g., Tableau, Looker, Mixpanel, Power BI) and SQL (Python - advantage), with a strong ability to build clear, actionable reports and dashboards.
Hands-on ownership mindset, able to define data needs, shape the instrumentation process with R&D, and deliver complete, coherent, and user-friendly data products.
Excellent communicator and collaborator, able to work with cross-functional teams-including senior leadership-and translate data into clear, business-relevant insights.
Proactive and adaptable, with a self-starter mindset and ability to thrive in fast-paced, evolving environments; comfortable juggling multiple data sources and requests.

Requirements:
3+ years of experience as a Data Analyst / Data Researcher.
Strong Proficiency with SQL.
Experience with BI tools such as Powerbi ,Tableau or similar.
Pro-active and independent achiever, self-learner, able to understand complex ideas and simplify it to relevant stakeholders.
Strong technical orientation with a passion for solving problems through data handling tasks, from ideation to delivery.
Team player with effective interpersonal skills to manage relationships with partners across the company.
Bachelor's degree in Industrial Engineering, Statistics, Mathematics, Economics, or a closely related field.
Ability to thrive in a fast-paced startup working environment.
Experience with dbt - an advantage.

Requirements:
4+ years of experience in business analysis, product analytics, or data analysis, ideally in a fast moving environment
Strong SQL skills and proficiency with BI tools (Metabase, Looker, Tableau, or similar); experience with data warehouse concepts and cloud platforms
Skilled at framing problems, defining metrics, and aligning teams to create a shared understanding of success
A hands on, independent self starter who can own projects end to end, from problem definition through delivery
Excellent communication, facilitation, and storytelling skills, able to translate complex data into actionable insights for technical and non-technical audiences
Strong problem solving and critical thinking skills, with the ability to bring clarity and drive decisions forward