Product Data Analyst

Q Techrec; Málaga; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company in the job search industry is seeking a Product Data Analyst to support decision-making through data analysis and insights. In this role, you will collaborate with cross-functional teams to improve product features and drive data-informed decisions, employing your SQL and Python skills in a dynamic, innovative environment.

Servicios

Flexible working hours

Remote work options

Professional growth opportunities

Dynamic work environment

Formación

• 3+ years of experience in data analysis.
• Strong SQL skills for database interaction.
• Practical experience with Python or R.

Responsabilidades

• Collect and structure data from internal sources.
• Analyze user behavior and identify product improvement opportunities.
• Support product teams through the feature lifecycle.

Conocimientos

SQL

Python

Data Analysis

Statistics

Data Visualization

Herramientas

Tableau

Redshift

Airflow

AWS

Descripción del empleo

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Direct message the job poster from Q-tech

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

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Technology, Information and Media

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