Data Analyst – Ipsos Karian and Box

Overview

In this role, you will transform and validate complex data from multiple sources to deliver accurate, actionable insights that support employee experience research. You will collaborate with consultants, researchers, and analysts to manage large datasets, automate data processes, and develop innovative reporting solutions. You’ll contribute to a fast-paced, quality-driven research environment and help improve client outcomes through data-driven storytelling. This role offers visibility across clients and opportunities to upskill in analytics and automation.

Pay / Benefits

• 25 days annual leave
• pension contribution
• income protection
• life assurance
• health & wellbeing programmes
• professional development opportunities

Responsibilities

• Manage and transform data from multiple sources to ensure accuracy and relevance
• Support delivery of large-scale employee listening projects
• Develop automated data processes and efficient workflows
• Contribute to innovative reporting solutions and client-facing outputs
• Collaborate with consultants, researchers, and analysts to deliver insights
• Ensure data quality and timely delivery for multiple priorities

Key requirements

• Strong analytical mindset and passion for data and insights
• Experience managing, transforming, and validating complex datasets
• Excellent attention to detail and data quality
• Strong organizational skills to handle multiple priorities and deadlines
• Effective communicator able to explain technical concepts to varied audiences
• Collaborative, knowledge-sharing mindset with peers
• Proactive problem-solver with continuous improvement approach
• Client-focused with commitment to excellent service
• Proficiency with AI tools to improve efficiency, automation, and analytics
• Advanced Microsoft Excel skills
• Experience using Python and/or R for data analysis and transformation
• Strong data manipulation, cleansing, and validation capabilities
• Experience working with large and complex datasets
• Knowledge of automated reporting processes and data workflows
• Strong written and verbal communication skills
• Ability to prioritise workload and deliver high-quality outputs to deadlines
• Experience working collaboratively with internal stakeholders and clients

• Analytical mindset
• Attention to detail
• Collaboration
• Advanced Microsoft Excel
• Python and/or R for data analysis
• Data manipulation, cleansing and validation

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