Data Analysis Lead - Remote, Flexible Hours, Insights

Smadex; Barcelona; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Top location in Barcelona

Hybrid work model (2 days from home)

Meal vouchers

Gym allowance

Learning opportunities

Team events

Job summary

Smadex in Barcelona is seeking a Data Analysis Lead to bridge complex big data with strategic product decisions. You will lead a team of 3-5 data analysts, overseeing analysis of massive programmatic advertising datasets and delivering high-quality insights to shape product development.

You will work closely with Product Management, Data Science, and Engineering to define monitoring signals, build automated reporting, and empower self-service BI across the organization, enabling data-driven

Qualifications

• Bachelor's or master's in Engineering, Statistics, Mathematics, Economics, or Data Science.
• 5+ years in data-heavy analysis or BI, preferably in ad tech.
• 3+ years leading or mentoring a team of data professionals.
• Fluency with SQL and proficiency in Python or R for data manipulation.

Responsibilities

• Lead, mentor, and scale a team of 3–5 data analysts, owning the team's workflow and prioritizing requests.
• Deep-dive into large RTB datasets to decode auction dynamics and identify revenue opportunities.
• Define and implement frameworks for peer review, data validation, and documentation; ensure accuracy of insights and dashboards.
• Collaborate with Product Management, Data Science, and Engineering to translate data trends into actionable product decisions.

Skills

Data analysis

Leadership

Stakeholder communication

Education

Technical degree in quantitative field

Tools

SQL

Python

R

Job description

Smadex in Barcelona is seeking a Data Analysis Lead to bridge complex big data with strategic product decisions. You will lead a team of 3-5 data analysts, overseeing analysis of massive programmatic advertising datasets and delivering high-quality insights to shape product development.

You will work closely with Product Management, Data Science, and Engineering to define monitoring signals, build automated reporting, and empower self-service BI across the organization, enabling data-driven