Almedia is the fastest-growing advertising company in Europe, according to the Financial Times. Based in the heart of Berlin, we offer mobile game and app developers unparalleled returns from rewarded user acquisition, engineering the future of UA with our data-driven approach and community of over 50 million users.
We are at the forefront of a shift in the mobile app advertising landscape, changing the way people find and engage with apps. The industry is adapting around Almedia’s approach, and we are building a team that can push us even further.
We are seeking a Data Analyst with a passion for uncovering insights that drive growth. This pivotal role is for a highly analytical individual who will directly influence our product, marketing, and user acquisition strategies through deep dives into user behavior and advanced predictive modeling. Join us and become a central force in optimizing user acquisition and maximizing Lifetime Value (LTV) for millions of users.
Drive Predictive Analytics: Focus on analyzing user behavior and marketing activities to predict key metrics like User Lifetime Value (LTV), identifying high-value user segments and opportunities for growth.
Deep User Segmentation: Lead in developing and applying advanced user segmentation models, providing actionable insights that inform product development, marketing strategies, and personalized user experiences.
Performance Optimization & Strategy: Partner closely with Marketing, Product, and User Acquisition teams to interpret complex performance data, translate findings into strategic recommendations, and directly influence optimization efforts.
Advanced Data Analysis & Modeling: Utilize strong SQL and Python skills to conduct sophisticated data analysis, build robust analytical models, and maintain relevant data structures that support predictive insights.
Insights Communication & Enablement: Transform complex analytical findings into clear, compelling narratives and actionable recommendations for stakeholders. Mentor and train teams on how to leverage these insights effectively, moving beyond basic reporting.
Extensive experience (typically 4+ years) in a data analysis role with a strong focus on business performance, user behavior, and growth metrics.
Proven experience with predictive analytics, particularly in predicting LTV for marketing activities, and advanced user segmentation.
Exceptional proficiency in SQL and Python for complex data manipulation, analysis, and statistical modeling.
Strong understanding of data warehousing concepts and data modeling principles relevant to analytical outcomes.
Experience in collaborating closely with marketing, product, and data science teams to drive measurable business impact.
Ability to communicate complex analytical findings clearly and concisely to diverse audiences, influencing data-driven decisions.
A Predictive Mindset: You are passionate about uncovering future trends and user behavior through data, using insights to drive proactive strategies.
Impact-Driven & Strategic: You're not just reporting numbers; you're using them to influence key business decisions and directly contribute to revenue and user growth.
Collaborative Analytical Partner: You excel at translating complex data into actionable strategies for business stakeholders, thriving in a cross-functional environment.
Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
Scale With Almedia: Grow alongside a startup that has been profitable from day one.
Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
We Listen: We regularly add to our benefits through rigorous employee feedback.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
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