• Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Arabic (and/or Arabic to English as needed). • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. • Document findings clearly and follow established processes to ensure consistency and quality.

• Monitor and analyze master data, key data, and master relationship data within the organization • Implement policies and procedures for the day-to-day operational and administrative management of system data • Add value by understanding how Master Data is used in business processes and ensure that the Master Data is accurate, complete and transaction ready • Coordinate and execute Master Data creation and maintenance • Provide governance services in support of master data management • Recommend and execute continuous improvement of master data management processes • Drive global master data integrity and compliance with policies and procedures by working with cross functional partners • Provide data expertise and guideline knowledge on downstream impacts of inaccurate data • Provide master data conflicts/problem resolution support and education • Support standardized data design, naming, consistent data definitions and usage • Monitor/audit master data and remediate issues to maintain defined levels of quality • Provide analytical support to other departments as necessary

• Independently complete analytics and data gathering to support recommendations • Share insights and recommendations with senior leaders to get buy-in for proposed solutions • Partner across the organization to understand the decision drivers to non-wage spend • Recommend and lead large-scale technical programs, coordinating cross-functional teams and resources to meet delivery goals • Drive clarity and alignment on program scope, timelines, and dependencies across multiple workstreams • Communicate progress and risks effectively to stakeholders, ensuring alignment and informed decision-making • Mentor team members on best practices in program management and technical execution

We’re on the hunt for a sharp, data-driven trailblazer to lead analytics for Outplayed – Overwolf’s flagship platform for capturing, editing, and sharing unforgettable gaming moments used by millions of players worldwide. As our Insights Maestro, you’ll turn billions of gameplay events into clear, impactful insights that shape Outplayed’s direction. You’ll work closely with Product, Engineering, Marketing, and Leadership – serving as the General Manager’s main data partner and the primary link to Overwolf’s central Data team, aligning data needs, pipelines, and insights across the stack. So if you see patterns where others see noise, love diving into complex behavior data, and want your insights to directly influence what we build next – this quest is yours. BSc/BA in a highly quantitative field such as Industrial Engineering, Economics, Statistics, or equivalent. 5+ years of hands-on experience as a data analyst, ideally as a lead analyst within a business unit or a team lead who still loves being hands-on. Proven experience working with cloud-based data warehouses, preferably Snowflake, with strong SQL skills. 2+ years of experience in data modeling, specifically star-schema methodologies (dimensions, facts, profiles, etc.). 2+ years of experience using Tableau. Excellent verbal and written communication skills in English. Bonus Points Experience as a BI Developer. Familiarity with predictive analytics methodologies. Hands-on experience with Redash. Passion for gaming and understanding of player behavior. Background in B2C, consumer, or gaming products. Experience working with Airflow.