At a Glance
- Tasks: Transform data into insights to boost marketing performance and support AI-driven decisions.
- Company: Join Veeam, a leader in data resilience and security, with a global presence.
- Benefits: Enjoy 25 vacation days, health insurance, and opportunities for professional growth.
- Other info: Gain hands-on experience with cutting-edge analytics tools and cloud-based practices.
- Why this job: Make a real impact by analysing data for some of the world's biggest brands.
- Qualifications: Strong SQL and Python skills, plus a degree in a related field.
The predicted salary is between 30000 - 40000 £ per year.
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.
- 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.
Nice to Have
- 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.
What We Offer
- Hands-on experience working with large-scale marketing and customer datasets.
- Mentorship & development in SQL, Python, Databricks and modern analytics tools.
- Opportunities to influence marketing strategy through data insights.
- Exposure to cloud-based analytics and data engineering practices.
- A strong career development foundation in data analytics and marketing analytics.
- Access to cutting-edge AI-assisted development tools, including Claude Code, empowering you to accelerate analysis & prototype solutions rapidly.
What You’ll Get
- 25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares.
- Private medical, dental, and vision insurance with dependent enrolment.
- Life insurance with enhanced coverage and global 24/7 protection.
- Income protection after 26 weeks, covering a portion of salary.
- Defined contribution pension plan with employer match.
- Worldwide travel insurance for business and leisure, with option to enroll dependents.
- Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs.
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
Junior Data Analyst in London employer: Veeam Software
Veeam is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring data analysts looking to make a significant impact. With a strong emphasis on employee growth, you will have access to mentorship and cutting-edge tools, alongside generous benefits such as 25 paid vacation days and comprehensive health insurance. Located in Seattle, you'll be part of a dynamic team that values diversity and encourages continuous learning, making it an ideal environment for early-career professionals eager to develop their skills in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Veeam Software when you're aiming for that entry-level role.
✨Join Data Science Meetups
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✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Veeam Software’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Veeam Software, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Veeam Software aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Veeam Software
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
