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Senior Data Analyst

Remote · USA Full-time New today

Almedia is the fastest-growing advertising company in Europe according to the FT1000, offering mobile game and app developers unparalleled returns from rewarded user acquisition. We are engineering the future of UA with our data-driven approach and community of over 40 million users engaging with games, apps, and surveys.

Based in the heart of Berlin, our collaborative approach offers the opportunity for our clients to acquire 10,000 users daily, providing consistent value and improved ROAS in the short and long term.

What You’ll Do
  • 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.

What You’ll Bring
  • 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.

What Makes You a Great Fit
  • 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.

Why Almedia?
  • Become an owner: As part of our virtual equity option policy, you’ll have the opportunity to share in Almedia’s success and growth.

  • Innovative and high-growth: Join a startup that has been profitable from day one and is rapidly scaling its impact in the Ad-Tech space.

  • Berlin Office & Collaborative Hub: Work primarily from our modern, centrally located Berlin office, designed to foster strong collaboration, team connection, and organic growth as we build together.

  • Other Benefits: Enjoy a range of benefits designed to support your well-being and growth, including weekly breakfast and lunch at the office, a public transport ticket, gym membership, language classes, and with more exciting additions on the horizon.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth—whether you aspire to be a future leader or a specialist. Almedia is an equal opportunity employer; we embrace and celebrate diversity, encouraging individuals from all backgrounds to apply.

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