Data Analyst

Robert Half is a globally recognized professional staffing and consulting firm specializing in providing skilled talent across various industries including finance, technology, administrative support, and more. With decades of experience, Robert Half has built a reputation for connecting organizations with highly qualified professionals to meet their strategic objectives. The company is committed to fostering diversity, equity, and inclusion, ensuring that all candidates and clients are treated with fairness and respect. Operating in numerous countries, Robert Half leverages its extensive network and industry expertise to deliver tailored staffing solutions that drive business success.

About The Role

We are seeking a highly skilled Data Analyst to join a specialist growth intelligence firm based in London. This organization operates at the intersection of data, pricing, product strategy, artificial intelligence, and B2B technology, offering innovative solutions to complex business challenges. The role is hybrid, combining remote work with office presence, providing flexibility in balancing professional and personal commitments. The Data Analyst will be instrumental in building and delivering high-quality, client-specific analysis that informs strategic decision-making and supports business growth. This position offers an exciting opportunity to work within a fast-paced, innovative environment, contributing to projects that leverage cutting-edge data techniques and AI-enabled tools.

Qualifications

• Proven experience in data analysis, preferably within SaaS, fintech, e-commerce, or similar fast-paced commercial sectors.
• Advanced proficiency in Excel, Python, Snowflake, and Tableau.
• Strong analytical foundations with experience working with large, complex datasets.
• Hands-on experience in data ingestion, cleaning, quality assurance, and matching from multiple sources.
• Familiarity with SQL, web scraping, and data enrichment techniques is advantageous.
• Excellent problem-solving skills with a structured approach to ambiguity and complex data challenges.
• Strong storytelling skills with the ability to communicate insights effectively to both technical and non-technical stakeholders.
• Commercial awareness and the ability to develop hypotheses and analytical examples to support business growth.

• Build and deliver high-quality, client-specific data analysis to support strategic decision-making.
• Own client data requests, identify opportunities to maximize value from incomplete or unstructured datasets, and deliver actionable insights.
• Perform ad-hoc analysis, data enhancements, enrichment, scraping, and advanced matching to meet project requirements.
• Contribute to proposals, RFPs, and support live commercial opportunities with data-driven insights.
• Develop analytical models and hypotheses to support new business initiatives and growth strategies.
• Assist in the training and improvement of AI-enabled analytical tools to enhance team capabilities.
• Identify opportunities to improve the speed, depth, and quality of analysis within the team.
• Collaborate with cross-functional teams to ensure data integrity and consistency across projects.

The role offers a competitive salary package, commensurate with experience and qualifications. The organization supports a flexible hybrid working model, promoting work-life balance and productivity. Employees will have access to professional development opportunities, including training and workshops to enhance their skills. Being part of a rapidly growing SaaS organization, team members will work in an innovative environment with exposure to cutting-edge technologies and methodologies. Additional benefits may include health insurance, paid time off, and participation in company events and initiatives designed to foster a collaborative and inclusive workplace.

Equal Opportunity

Robert Half is committed to creating a diverse and inclusive environment where all employees are valued and respected. We are an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We encourage candidates from all backgrounds to apply and welcome the opportunity to contribute to our dynamic and inclusive workplace.