Junior Data Analyst
External
Veeamsoftware · London, UKPrepare for this interview
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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.
Responsibilities
- 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.
- 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.
Requirements
- 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.
- Bachelor's degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field.
- Internship, academic project, or research experience involving data analysis is strongly preferred.
- Experience with Tableau, Power BI, or similar visualization tools
- Familiarity with marketing analytics concepts or campaign performance metrics
- Exposure to marketing platforms such as Google Analytics or Salesforce
- Experience using version control tools (e.g., Git)
- Understanding of ETL or data pipeline concepts
Benefits
Additional Information
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.
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