At a Glance
- Tasks: Transform data into insights to boost marketing performance and support decision-making.
- 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 major brands and enhancing marketing strategies.
- Qualifications: Strong SQL and Python skills, plus a degree in a related field.
The predicted salary is between 27000 - 33000 £ 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
- 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, Num Py) 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
- 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 Veea Me 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 (Linked In Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
- #LI-AP1
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.
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Junior Data Analyst employer: Veeam-Software
Veeam is an exceptional employer, offering a dynamic work culture that fosters growth and innovation in the heart of Seattle. With comprehensive benefits including generous vacation time, private medical insurance, and extensive learning opportunities, employees are empowered to thrive both personally and professionally. Join a team that values resilience, collaboration, and the pursuit of excellence while making a meaningful impact in the data and AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Veeam-Software!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Analyst at Veeam-Software.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Veeam-Software.
✨Apply Directly through Our Website
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We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Veeam-Software, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Veeam-Software. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Veeam-Software
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Veeam-Software!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
