Data Analyst II - Finance and Commercial

Adyen·Amsterdammid

En corto

→Analista de datos que transforma datos complejos en insights comerciales para decisiones estratégicas.
→Día a día: construye dashboards en Looker, mejora pipelines con SQL/Python y automatiza reportes.
→Destacado: trabajas con datos a escala para empresas como Meta y Uber, impactando decisiones comerciales globales.

Good communication skills in English

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo has usado SQL y Python para mejorar la calidad de un dataset en un proyecto anterior?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

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💵 USD · Remote · No visa

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¿Qué piden?

✓2-4 años de experiencia en análisis de datos.
✓Dominio de SQL y Python para procesamiento y análisis de datos.
✓Habilidades avanzadas en limpieza y transformación de datos grandes.
✓Capacidad para comunicar insights complejos a equipos comerciales.
✓Colaboración efectiva en equipos globales y multiculturales.
✓Disponibilidad para viajes ocasionales por negocios.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonLookMLLookerETLPySparkAirflowGitBig-data toolsData pipelines

¿A quién escribirle en Adyen?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Analyst In this role, you will transform complex data into clear insights that guide commercial decision-making. You will contribute to the development of scalable analytics solutions, from dashboards to data pipelines, while collaborating closely with senior data analysts, data engineers, and cross-functional partners across the business. What you’ll do • Support technical contributions : Assist in the development and optimization of Revenue Operations data pipelines using SQL, Python, and big-data tools. Contribute to ETL improvements to ensure data consistency and reliability. • Reporting and dashboards : Build and maintain LookML models and Looker dashboards to deliver accurate, timely insights to commercial stakeholders • Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, ensuring accuracy and reliability. • Automation : Contribute to the automation of recurring reporting processes (e.g., Quarterly Business Reviews, pipeline reporting) Scalability: Develop scalable, reliable, and sustainable data products that can be re-purposed for different use cases. Collaboration: Work closely with cross-functional data teams and other Revenue Operations functions to align on data initiatives and technical improvements. • Developing insights : Analyze datasets and translate findings into actionable insights for the commercial teams. Who you are Must haves: • 2-4 years of experience in Data Analytics with proven expertise in the field. • Proficiency in Python and SQL for data analysis and processing. • Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team. • Data Wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity. • Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations. • Flexibility for occasional business travel to support global collaboration and projects Plus: • Familiarity with analytical and statistical techniques (e.g., distributions, correlations, hypothesis testing, regression analysis) and with validation frameworks. • Exposure to big-data tools such as PySpark, Airflow or Git. • A background in econometrics, data science, engineering, or other quantitative studies Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them

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