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Data & Yield Analyst

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: Softonic
Tiempo completo puesto
Publicado en 2026-09-14
Especializaciones laborales:
  • TI/Tecnología
    Analista de datos, Inteligencia de Negocios
Rango Salarial o Referencia de la Industria: 50000 - 70000 EUR Anual EUR 50000.00 70000.00 YEAR
Descripción del trabajo

About Softonic

At Softonic, people come first. We’re a multicultural team passionate about building digital experiences used by millions of users worldwide. Guided by a fail fast, learn faster mindset, we encourage curiosity, experimentation, and continuous improvement, to make a real impact.

  • Step up:
    Take ownership and act with integrity.
  • Work smart:
    Focus on impact and efficiency.
  • One team:
    Collaborate openly and support each other.
  • Think big:
    Stay curious and challenge the status quo.
About Softonic

At Softonic, people come first. We’re a multicultural team passionate about building digital experiences used by millions of users worldwide. Guided by a fail fast, learn faster mindset, we encourage curiosity, experimentation, and continuous improvement, to make a real impact.

Our Culture Is Shaped By Four Principles
  • Step up:
    Take ownership and act with integrity.
  • Work smart:
    Focus on impact and efficiency.
  • One team:
    Collaborate openly and support each other.
  • Think big:
    Stay curious and challenge the status quo.

Team up with us to grow your career in an international, collaborative, and people-focused company where your ideas matter and your work reaches a global audience.

About

The Role

We are a global premium publisher with 28 years of history, providing quality software & APPs download services across multiple languages, also expanding with white labels ( Filehippo), Publisher network (rev.amp), and more partnerships on the way.

As our data & yield analyst reporting to the Director of Advertising, you will be responsible for bridging all revenue team’s data-analytics need (including but not limited to datasets, data visualization, and automation with the process for revenue generation/optimization purposes) with our BI team, to drive initiatives that will boost making more & better data-driven decisions and improve efficiency on revenue generation.

Will also take the yield function to analyze market trends & discover business opportunities, not only providing insights to the relevant teams (Sales, Paid, Partnership, Adtech, Product, Traffic, etc) but also following through with the implementation of the initiatives to ensure the business impact is realized.

Key Responsibilities
  • Be a data champion inside the Advertising & Rev Ops team and the go-to-person for ithe team & stakeholders from other revenue teams when it comes to better utilization of our data.
  • Help revenue teams to identify opportunities: using new data points, visualization and automation solutions and ideas to improve revenue generation efficiency, take those requirements, coordinate with dev (BI or other teams) to build the roadmap for the projects & implement accordingly.
  • Oversee & analyze mid-long (monthly, quarterly, YoY) term yield performance/trends of revenue streams & devices, provide insights on fluctuation, alerts when needed, and recommend a clear plan of action.
  • Provide A/B test or lean test analysis with recommendations for revenue-related initiatives.
  • Manage UPR optimisation and automation of pricing recommendation tool (either 3rd party or in-house).
  • Be able to use agentic AI tools to automate process & streamline data processing & analytic flows to deliver results efficiently
  • Provide insights on market trends, opportunities, and inventory availability information to the sales & AMs team for better usage of market data
  • Help teams turn data into actionable insights that unlock revenue opportunities and support smarter business decisions.
Must have
  • At least 2 years of working experience working as business analyst, preferably with experience in digital advertising business.
  • Experience of working with BI platforms, like Tableau, Qlikview & advance skills of Google Analytics.
  • Experience of doing data analysis work with AI tools…
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