Senior Data Analyst (Programmatic)
At a glance
Senior Programmatic role at Smadex SLU. Multiple Countries · full-time.
Pay not stated Programmatic salary
growthroles summary, based on the employer's posting.
What you'll do
- Use campaign and product data to find opportunities and help choose which product or machine-learning work comes next
- Set up and assess A/B and multivariate tests to measure new product features and machine-learning algorithms
- Create shared performance measures that help teams agree on how success will be judged
- Build reusable data models and visualization tools so technical and commercial teams can make decisions and explore insights
- Turn analysis into recommendations for product, engineering and business teams, while mentoring junior colleagues
What you bring
- At least three years as a data analyst or scientist in programmatic, such as SSP, DSP or MMP
- A bachelor's or master's degree in a quantitative discipline, such as engineering, statistics or mathematics
- Working ability with Python, SQL and large datasets, plus knowledge of statistical methods and hypothesis testing
- You can shape analytical questions, interpret results and communicate recommendations clearly
Who this fits
This senior role suits someone who can connect rigorous analysis with product decisions and guide junior teammates. Candidates already in Barcelona, or prepared to relocate there, are preferred. The role offers work from home two days per week and flexible hours.
From the employer
Smadex is a performance advertising engine for mobile apps, enabling the world's leading marketers to grow across Mobile and Connected TV (CTV). Powered by AI models trained on real campaign outcomes, Smadex delivers profitable growth at scale. Headquartered in Barcelona, with teams across the Americas, EMEA, and APAC, Smadex is a business unit of Entravision (NYSE: EVC).
As a Senior Data Scientist, you won’t just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business, transforming raw behavioral data from millions of global users into scalable strategies. We are looking for a high-caliber professional who thrives in ambiguity, sets high analytical standards, and translates complex insights into product decisions.
Candidates based in Barcelona, or willing to relocate, will be highly preferred.
Product & ML Strategy Influence
- Own the analytical loop that influences our Product and Machine Learning strategies. Use data to identify untapped opportunities and define what we build next.
- Design, execute, and evaluate sophisticated experimentation frameworks (A/B testing, multivariate testing) to measure the impact of new product features and ML algorithms.
- Establish and govern key performance frameworks to align cross-functional teams on what success looks like.
Scalable Analytics & Frameworks
- Build reproducible data models, frameworks, and processes that allow the company to scale decision-making without reinventing the wheel.
- Design high-impact data visualization assets that democratize data access and enable self-service insights for both technical and commercial stakeholders.
Cross-Functional Leadership
- Act as the strategic data partner for engineering, product, and business teams, translating deep technical findings into actionable, high-level business recommendations.
- Raise the bar for analytical rigor across the organization, mentoring junior team members and establishing best practices.
Skills and requirements:
- 3+ years of experience as a Data Analyst / Data Scientist within the programmatic sector (SSP, DSP, MMP)
- Bachelor's or Master's Degree in a Quantitative Field (Engineering, Statistics, Mathematics, Data Science).
- Strong problem-solving skills, ability to formulate questions, run analysis to articulate a recommendation.
- Proven working knowledge of Python, SQL and large data sets, understanding of analytic methodologies for data evaluation.
- Excellent verbal and written communication skills, with the ability to present analysis and conclusions.
- Strong knowledge and experience of statistical concepts and hypothesis testing.
- Knowledge of the ad-tech industry is a plus.
What is in it for you:
- Integrate a highly motivated, young and dynamic team
- Great compensation package
- Top location at the heart of Barcelona with a rooftop terrace, Barbecue, and a fully stocked fridge
- Great work-life balance: work from home (2 days per week), flexible hours
- Meal vouchers - Ticket Restaurant monthly allowance
- Monthly gym allowance: Choose between DiR and Wellhub
- LinkedIn Learning and training opportunities
- Monthly TGIF events
- Regular team-building events
- Fun and friendly work environment with talented marketers and engineers from over 40 countries
- And more!
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