Data Analyst
About this job
Robert Half Technology are assisting a specialist growth intelligence firm that sits at the intersection of data, pricing, product strategy, AI and B2B technology to recruit a Data Analyst. London based - Hybrid working
Role
- The Data Analyst will build and deliver high-quality, client-specific analysis
- Own client data requests and identify ways to maximise value from incomplete or unstructured datasets
- Deliver ad-hoc analysis, data enhancements, enrichment, scraping, and advanced matching
- Contribute to proposals, RFPs, and live commercial opportunities
- Develop analytical examples and hypotheses to support new business
- Help train and improve AI-enabled analytical tools
- Identify opportunities to improve the speed, depth, and quality of the team's analysis
- Industry Experience: Experience in SaaS, fintech, e-commerce, or a fast-paced commercial environment is a plus.
Key Responsibilities:
- The Data Analyst will have advanced Excel, Python,Snowflake and Tableau experience
- Strong analytical foundations and experience working with large, complex datasets
- Experience ingesting, cleaning, QA'ing, and matching data from multiple sources
- Exposure to Python, SQL, or web scraping is advantageous
- Strong problem-solving ability and a structured approach to ambiguity
- Strong data storytelling and commercial awareness
Company
- Rapidly growing SaaS organisation with offices in London
- Hybrid working
- 3-6 month contract
Salary & Benefits
The salary range/rates of pay is dependent upon your experience, qualifications or training.
Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
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