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# Data Analyst

- **Company:** Cataluña
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €50,000.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Validation, Data Mining, Data Security, Python (Programming Language), SQL Databases, Data Processing, Data Analytics
- **Published:** August 28, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.
 + 5+ years of experience in data-heavy analysis or business intelligence roles, with a proven track record in digital advertising or marketplace environments.
 + 3+ years of experience leading, managing, or mentoring a team of data professionals (as a Team Lead, Tech Lead, or Manager).
 + Fluency with Big Data: Expert-level mastery of SQL and strong capability to work independently in Python or R notebooks for advanced data manipulation.
 + Excellent written and verbal communication. Ability to synthesize complex technical anomalies or analytical conclusions into clear executive summaries for non-technical stakeholders.

## Description

As a Data Analysis Lead, you will bridge the gap between complex big data , strategic business and product decisions. You will lead a talented team of 3 to 5 data analysts, overseeing the analysis of massive programmatic advertising datasets. You will be responsible for ensuring high-quality insights to shape your product development..
Your tasks and responsibilities:

 + Lead, mentor, and scale a team of 3-5 data analysts. Own the team's operational workflow, prioritize incoming analytical requests from cross-functional stakeholders, and optimize delivery timelines.
 + Deep-dive into massive, fast-moving RTB datasets to decode auction dynamics, diagnose market fluctuations, and identify revenue opportunities; translate these findings into automated, self-service BI frameworks that democratize data access and eliminate ad-hoc extraction across the business.
 + Define and implement frameworks for peer review, data validation, and documentation. Ensure that all insights, models and custom dashboards delivered by the team meet the highest standards of statistical accuracy.
 + Work directly with Product Management, Data Science, and Engineering as a technical peer to define how performance signals are monitored, and translate complex data trends into actionable product decisions.
Empower Self-Service BI:
Drive the strategy for automated reporting and data democratization, reducing ad-hoc data extraction requests and enabling other teams to make data-driven decisions independently.


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