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Product Data Analyst

Posted 5 days 11 hours ago by Q-tech

Permanent
Not Specified
I.T. & Communications Jobs
Not Specified, Spain
Job Description

We're working with an innovative platform in the job search industry, used by millions to connect employers and job seekers. We're seeking a Product Data Analyst who wants to have a real impact on how our product evolves. Your mission will be to support the product team in making better, data-informed decisions, from analyzing user behavior and validating hypotheses to running A/B tests and turning results into actionable insights.


You'll collaborate cross-functionally with developers, designers, product managers, and other analysts, and contribute to key initiatives such as recommendation systems, search optimization, monetization, and marketing performance.


What you'll do:

  • Collect and structure data from various internal sources.
  • Ensure data quality and help define/improve data pipelines.
  • Analyze user behavior and identify opportunities to improve the product.
  • Support product teams throughout the full feature lifecycle: hypothesis, implementation, tracking, and measurement.
  • Design and evaluate A/B tests.
  • Translate business questions into clear, actionable analysis.
  • Contribute to the evolution of our data infrastructure and analytics practices.


What we're looking for:

  • 3+ years of experience in data analysis, ideally in product-focused environments.
  • Strong SQL skills to work directly with databases.
  • Practical experience with Python (or R) for data processing and analysis.
  • Ability to turn data into insights and insights into business recommendations.
  • Solid understanding of key product and marketing metrics: MAU, retention, LTV, CAC, etc.
  • Good grasp of statistics and experimental design (e.g., A/B testing).
  • Ability to visualize and communicate data effectively (experience with BI tools like Tableau is a plus).


Bonus points for:

  • Hands-on experience with data infrastructure tools (e.g., Redshift, Airflow, AWS).
  • Real interest or experience in Machine Learning, even self-taught.
  • Familiarity with mobile app tracking and analytics.


What we value beyond the resume:

  • Product thinking and critical mindset.
  • Ability to work independently, while collaborating effectively with others.
  • Eagerness to learn, improve, and challenge the status quo.


Benefits:

  • Competitive salary
  • Flexible working hours and remote work options
  • Professional growth and development opportunities
  • Dynamic, innovative, and collaborative work environment
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