<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About Us</strong></p><p>ParlerAI App is an AI-powered multilingual dictionary and translator designed for polyglots, language learners, and global communicators. The app allows users to explore words across multiple languages with direct and relative meanings, phonetics, inflections, and accurate translations all in one place. Currently supporting 11 languages, including English, French, German, Spanish, Italian, Portuguese, Russian, Japanese, Korean, Chinese and Arabic. ParlerAI streamlines the language discovery process into an intuitive and efficient experience. With a mission to make multilingual communication smarter and faster, ParlerAI is redefining the way users learn and connect through languages.</p><p><br/></p><p>As we continue to scale, we're looking for a Data Analyst (Performance Marketing) who enjoys solving complex business problems with data and wants to make a measurable impact on growth. <span>Our team combines expertise in analytics, technology, and growth marketing to turn complex data into actionable insights.</span></p><p><br/></p><p><strong>What You'll Do</strong></p><ul><li>Build and maintain a reliable Single Source of Truth for marketing and business performance data.</li><li>Integrate multiple data sources, including Google Analytics 4 (GA4), CRM systems, paid advertising platforms, internal databases, and business applications.</li><li>Analyze the complete customer journey from acquisition through conversion and retention.</li><li>Design and develop dashboards that provide clear, actionable insights for marketing, product, and leadership teams.</li><li>Identify funnel drop-offs, anomalies, growth opportunities, and performance trends before they become obvious.</li><li>Perform customer segmentation, cohort analysis, and Customer Lifetime Value (CLV) analysis.</li><li>Collaborate with marketing teams to optimize campaign performance, attribution models, ROI, and ROAS.</li><li>Design and validate tracking implementations, including event tracking, conversion tracking, and server-side tracking.</li><li>Translate complex analytical findings into practical recommendations for business stakeholders.</li><li>Continuously improve data quality, reporting processes, and measurement frameworks.</li></ul><p><br/></p><p><strong>What We're Looking For</strong></p><ul><li>Bachelor's or Master's degree in Business Analytics, Marketing, Data Science, Computer Science, Statistics, or a related field.</li><li>3+ years of experience in Data Analytics, Marketing Analytics, Business Intelligence, or Performance Marketing Analytics.</li><li>Strong SQL skills with experience working with relational databases.</li><li>Hands-on experience with Google Analytics 4 (GA4) and Google Tag Manager (GTM).</li><li>Experience building dashboards using Power BI, Tableau, Looker Studio, or similar BI tools.</li><li>Solid understanding of digital marketing metrics including: ROAS, ROI, CAC, CPA, CPC, Customer Lifetime Value (CLV), Conversion Rate</li><li>Strong understanding of CRM concepts, customer lifecycle management, and audience segmentation.</li><li>Excellent analytical thinking and problem-solving skills.</li><li>Ability to communicate insights clearly to both technical and non-technical stakeholders.</li><li>Fluent English.</li></ul><p><br/></p><p><strong>Nice to Have</strong></p><ul><li>Experience with Python or R for data analysis.</li><li>Experience using BigQuery, Snowflake, Redshift, or Azure SQL.</li><li>Knowledge of ETL pipelines and modern data warehouses.</li><li>Experience with dbt or data transformation frameworks.</li><li>Understanding of attribution modeling and marketing mix modeling.</li><li>Experience implementing server-side tracking.</li><li>Familiarity with A/B testing and experimentation frameworks.</li><li>Experience in SaaS, e-commerce, or digital products.</li></ul><p><br/></p><p><strong>What We Offer</strong></p><ul><li>Competitive salary and performance-based bonus.</li><li>Flexible working hours, Hybrid or remote work options.</li><li>Support for the application process of EU Blue Card or work authorisation</li><li>High ownership and autonomy.</li><li>Modern analytics and data technology stack.</li><li>Learning and professional development budget.</li><li>Opportunity to work closely with experienced leaders and directly influence business growth.</li><li>Collaborative, fast-moving startup environment with minimal bureaucracy.</li></ul><p><br/></p><p>If you're passionate about turning data into business impact and enjoy working in a fast-paced startup environment, we'd love to hear from you.</p> </div>