Junior Data Analyst

veeamsoftware · Londonjunior

En corto

▸Analista de datos junior que transforma datos de marketing en insights accionables.
▸Día a día: SQL, Python, automatización con IA y desarrollo de dashboards en Databricks.
▸Destacado: Trabajo con IA agente (Claude Code) para automatizar procesos de leads y enriquecimiento de datos.

None

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¿Qué piden?

✓Conocimiento sólido de SQL (joins, agregaciones, transformaciones).
✓Experiencia básica-intermedia con Python y librerías como pandas y NumPy.
✓Exposición a Databricks, Spark o entornos de datos en la nube.
✓Experiencia con conjuntos de datos reales y validación de datos.
✓Capacidad para comunicar hallazgos técnicos a audiencias no técnicas.
✓Uso de herramientas como Jira para gestionar prioridades.

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

SQLPythonpandasNumPyDatabricksApache SparkClaude CodeBI toolsJiradata pipelines

¿A quién escribirle en veeamsoftware?

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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role We are seeking a technically strong Junior Data Analyst to support Marketing Analytics by transforming data into insights that improve campaign performance and enable data & AI driven decision-making. This is an early-career role ideal for candidates with strong analytical fundamentals and hands-on experience with SQL, Python, Claude Code, and modern data platforms such as Databricks. You will work with large marketing datasets, develop reporting solutions, automate data workflows, implement AI agentic layers and partner with marketing business partners to deliver actionable insights. What You’ll Do Data Analysis & Insights • Analyze marketing performance data to identify trends, optimization opportunities, and key performance drivers. • Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy. • Design and implement an intelligent lead ingestion framework by automating the lead import process using AI-driven data parsing, validation, and enrichment techniques. This includes building scalable process automation pipelines and developing a user-friendly interface that enables seamless monitoring, control, and interaction with incoming lead data. • Translate complex data into clear insights and recommendations for stakeholders. • Support ad-hoc analysis and proactively identify opportunities for deeper insights. Technical & Data Development • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data. • Use Python for data cleaning, automation, and exploratory analysis. • Assist with building and maintaining curated datasets, data models, and data quality checks • Use Claude Code to design interfaces, agents & automation steps Reporting & Collaboration • Develop and maintain dashboards and marketing performance reports using BI tools. • Automate recurring reporting processes to improve efficiency and scalability. • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs. • Document data definitions, logic, and reporting methodologies. What You’ll Bring • Strong working knowledge of SQL, including joins, aggregations, and data transformations. • Basic to intermediate proficiency in Python with experience using data libraries (e.g., pandas, NumPy) through coursework, projects, or internships. • Exposure to Databricks, Apache Spark, or cloud-based data environments. • Experience working with real-world datasets and performing data validation and troubleshooting. • Strong curiosity and willingness to learn. • Strong analytical and problem-solving abilities with attention to detail. • Ability to communicate technical findings to non-technical audiences. • Ability to manage multiple workflow priorities using Jira or similar project management tools and work independently. • Bache

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