Junior Data Analyst

🕒 June 30

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

📉 Data Analyst

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 36%

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

☁️ SaaS

💰 $500M Private Equity Round on 2019-01

Consulting • Logistics • SaaS

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• Support Marketing Analytics by transforming data into insights that improve campaign performance and enable data and AI-driven decision-making • 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 using AI-driven data parsing, validation, and enrichment • Build scalable process automation pipelines and a user-friendly interface for 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 SQL queries to extract, transform, and analyze marketing and enterprise data • Use Python for data cleaning, automation, and exploratory analysis • Assist with curated datasets, data models, and data quality checks • Use Claude Code to design interfaces, agents, and automation steps • Develop and maintain dashboards and marketing performance reports using BI tools • Automate recurring reporting processes • Partner with marketing, analytics, data science, and data engineering teams • 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 such as pandas and 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 is nice to have • Familiarity with marketing analytics concepts or campaign performance metrics is nice to have • Exposure to marketing platforms such as Google Analytics or Salesforce is nice to have • Experience using version control tools such as Git is nice to have • Understanding of ETL or data pipeline concepts is nice to have

🏖️ Benefits

• 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 • 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