Junior Data Analyst

Veeam; Greater London; On-site; GBP 35,000 - 45,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Medical coverage

401(k) matching

Fertility/Adoption support

Job summary

Veeam is seeking a technically strong Junior Data Analyst to support Marketing Analytics by transforming data into insights that improve campaign performance and enable data-driven decisions. You will work with large datasets, develop reporting solutions, automate workflows, and partner with marketing teams to deliver actionable insights.

This early-career role requires strong analytical fundamentals and hands-on experience with SQL, Python, Claude Code, and modern data platforms like

Qualifications

• Internship, academic project, or research experience involving data analysis is strongly preferred.
• Strong experience with Python data libraries (e.g., pandas, NumPy) through coursework, projects, or internships.
• Ability to communicate technical findings to non-technical audiences.
• Exposure to Databricks, Apache Spark, or cloud-based data environments.
• Familiarity with marketing analytics concepts or campaign performance metrics.
• Experience using version control tools (e.g., Git).
• Understanding of ETL or data pipeline concepts.

Responsibilities

• Transform data into insights to improve marketing analytics and decision-making.
• Analyze marketing performance data to identify trends and optimization opportunities.
• Design and implement an intelligent lead ingestion framework with AI-driven parsing and validation.
• Develop 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 data needs.
• Document data definitions, logic, and reporting methodologies.

Skills

SQL

Python

Claude Code

Databricks

Education

Bachelor's degree in Data Analytics

Computer Science

Statistics

Business Analytics

Marketing Analytics

Tools

Apache Spark

Databricks

Tableau

Power BI

Git

Jira

Job description

• 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
• 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
• 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
• 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

Benefits

• Unlimited paid time off, plus 3 global VeeaMe Days for self-care
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage from day one
• 401(k) retirement plan with matching contributions up to annual limits
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program

• Strong working knowledge of SQL, including joins, aggregations, and data transformations
• Internship, academic project, or research experience involving data analysis is strongly preferred
• Basic to intermediate proficiency in Python with experience using data libraries (e.g., pandas, NumPy) through coursework, projects, or internships
• Strong curiosity and willingness to learn
• Strong analytical and problem-solving abilities with attention to detail
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field
• Ability to manage multiple workflow priorities using Jira or similar project management tools and work independently
• Experience working with real-world datasets and performing data validation and troubleshooting
• Ability to communicate technical findings to non-technical audiences
• Exposure to Databricks, Apache Spark, or cloud-based data environments
• 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