Building social gaming products.

Slay

Senior Data Analyst (Berlin)

Social Media & Influencer Marketing (Berlin)

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Born creates AI friends, with over 15 million users and rapid growth. Their flagship AI friend, Pengu, is the biggest AI character app with its own IP in the US. They are backed by world-class investors and have raised $25M. This Senior Data Analyst role involves enabling tactical and strategic decision-making through insightful analyses, developing predictive models, creating dashboards, and optimizing marketing spend. The role requires designing and interpreting A/B tests and collaborating cross-functionally with marketing, user acquisition, and data engineering teams to drive business objectives.

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Tasks</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Data Analysis and Insights: Enable tactical and strategic decision-making by providing insightful analyses, developing predictive models, and creating dashboards.</li><li class="leading-relaxed">Predictive Analytics: Build and interpret predictive models to forecast Lifetime Value (LTV) and user behavior, optimizing marketing spend and strategies.</li><li class="leading-relaxed">A/B Testing: Design, analyze, and interpret the results of A/B tests to inform marketing strategies and improve campaign performance.</li><li class="leading-relaxed">Cross-functional Collaboration: Work closely with marketing, user acquisition, and data engineering teams to understand data needs and deliver solutions that drive business objectives.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Requirements</h2>Experience:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">3+ years in a role such as Data Analyst or Data Scientist with a strong emphasis on consumer app knowledge.</li></ul>Technical Proficiency:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong expertise in SQL and experience with data analysis tools.</li><li class="leading-relaxed">Proficiency in a programming language (e.g., Python).</li><li class="leading-relaxed">Experience with DBT and cloud data warehouses is a plus.</li></ul>Predictive Analytics:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with predictive modeling techniques and forecasting LTV.</li><li class="leading-relaxed">Familiarity with machine learning concepts and algorithms relevant to marketing analytics.</li></ul>Data Visualization:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Proficiency with visualization tools like Metabase, Tableau, Looker, or Power BI.</li></ul>Analytical Mindset:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong problem-solving skills and a data-driven approach.</li><li class="leading-relaxed">Ability to handle complex datasets and extract actionable insights.</li></ul>Communication Skills:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Excellent verbal and written communication skills.</li><li class="leading-relaxed">Ability to convey complex data insights to non-technical stakeholders.</li></ul>Adaptability:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Proven ability to deliver high-quality results in a fast-paced, high-pressure environment.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Benefits</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Compensation and Stock Options: Competitive compensation and equity options.</li><li class="leading-relaxed">Your move, our support: Generous relocation bonus included.</li><li class="leading-relaxed">Openness: Flexible hybrid work environment.</li><li class="leading-relaxed">Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.</li><li class="leading-relaxed">Full Commute Reimbursement: We cover 100% of your commuting costs.</li><li class="leading-relaxed">Gym Membership: Stay fit and healthy on us.</li><li class="leading-relaxed">Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork.</li><li class="leading-relaxed">Supportive team: A team that values passion, openness, and having your back.</li><li class="leading-relaxed">Regular offsite gatherings: To celebrate wins, and build connections.</li></ul>

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Lula is seeking an experienced Restructure Specialist for a 6-month fixed-term contract to provide critical capacity and expertise during a period of organisational change and technology optimisation. The primary focus of this role is to manage the end-to-end execution of our restructuring initiatives, ensuring they are executed effectively in line with formal Credit rules and compliant with customer communication standards.Responsibilities:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Evaluating Existing Client Data: Evaluating clients’ credit and collections data order to apply departmental rules to restructure requests</li><li class="leading-relaxed">Project Management: Lead the day-to-day execution of the restructure project plans, tracking milestones and ensuring all legal and internal deadlines are met.</li><li class="leading-relaxed">Platform and internal tool Proficiency: Develop a deep understanding of our lending platform and related internal payment tools to ensure effective execution of validated restructure decisions</li><li class="leading-relaxed">Client communication: Communicate with clients in a clear, formal manner using Lula standards to drive clear execution of restructure requests</li><li class="leading-relaxed">Documentation & Compliance: Ensure all restructure documentation is accurate and compliant with departmental standard, with basic notes about the actions taken on client profiles</li><li class="leading-relaxed">Collaboration and continuous improvement: Work closely with the credit, collections, sales, finance and restructure teams to maintain and enhance high-quality decision-making processes, with a focus on improving overall portfolio performance</li><li class="leading-relaxed">Multitasking: Exhibit the ability to handle various ad-hoc tasks on a daily basis while maintaining a high level of accuracy</li><li class="leading-relaxed">Credit Lifecycle Expertise: Demonstrate a solid understanding of the credit lifecycle, including collection and restructure processes</li></ul>The Experience & Skills We’re Looking For<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Matric certificate or equivalent</li><li class="leading-relaxed">Degree/Diploma in Administration, Operations or Finance preferable</li><li class="leading-relaxed">2-3 years Experience working in an Operations environment (preferably for a financial institution) would be advantageous</li><li class="leading-relaxed">Familiar with working on CRM tools (such as Zendesk) would be advantageous</li><li class="leading-relaxed">Experience in being able to handle multiple tasks concurrently</li><li class="leading-relaxed">Passionate about delivering customer experience above and beyond customer expectations</li></ul>

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Senior Data Analyst (Berlin)

Social Media & Influencer Marketing (Berlin)

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