Data Insights

Company Description O’Neil’s Recruitment.com Ltd. is a specialist recruitment firm that has supported thousands of professionals at every stage of their careers, from entry-level roles to senior leadership positions. The company focuses on building long-term relationships with both candidates and clients, helping each find the right match for their needs and goals. With strong expertise across agency and client-side environments, O’Neil’s Recruitment provides tailored guidance and market insight. The team is driven by clear goals, a passion for career development, and a commitment to delivering high-quality recruitment services.
Role Description The Data Insights role is a full-time hybrid position based in London Central, with flexibility for some work from home. This role involves collecting, cleaning, and managing data from multiple sources to support recruitment operations and business decision-making. The Data Insights professional will perform in-depth data analysis, build dashboards and reports, and translate findings into clear, actionable insights for internal stakeholders. Day-to-day tasks include developing and maintaining data models, monitoring key performance metrics, and collaborating with recruitment consultants and leadership to improve processes and outcomes. The role also requires documenting methodologies, ensuring data quality and compliance, and contributing to continuous improvement in how the organization uses data.
Qualifications

• Strong Data Analytics and Data Analysis skills to interpret complex datasets and produce actionable insights.
• Robust Analytical Skills for problem-solving, trend identification, and performance measurement.
• Experience with Data Management, including data cleaning, integration, governance, and quality assurance.
• Proficiency in Data Modeling for building and maintaining scalable, reliable data structures and reports.
• Knowledge of data visualization tools (e.g., Power BI, Tableau, or similar) and proficiency in Excel.
• Familiarity with databases and query languages (e.g., SQL) is highly beneficial.
• Ability to communicate data findings clearly to non-technical audiences, both in writing and verbally.
• Relevant degree or equivalent experience in data science, statistics, mathematics, business analytics, or a related field.
• Organized, detail-oriented, and comfortable working in a fast-paced, collaborative recruitment environment.