£52,000 Per year
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role at a global technology leader in London involves hands-on analysis and collaboration with engineers to evaluate products at scale. This position is suited for individuals early in their data careers, focusing on data quality and insights using Python and SQL. The contract duration is 10 months, with a hybrid working arrangement. Candidates are encouraged to apply promptly as hiring is ongoing.
Key Responsibilities:
- Analyse, clean, and validate large datasets to ensure high data quality
- Use Python and SQL to explore data and surface insights
- Support evaluation and measurement of advanced technology products
- Work closely with technical teams to identify gaps and improvement areas
Key Skills:
- Experience in data analysis
- Working knowledge of Python and SQL
- Strong attention to detail and analytical mindset
- Background in a STEM, data, or analytical discipline
- Exposure to AI or machine learning (nice to have)
- Experience in a product-led tech environment (nice to have)
Salary (Rate): £52,000.00 yearly
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Analyst – Global Tech
London, hybrid 3 days a week onsite and 2 from home
10 month contract
£47-52,000 per annum
We’re hiring a Data Analyst to join a high-impact team within a global technology leader building and evaluating products used at massive scale. This role is ideal for someone early in their data career who enjoys hands-on analysis, working closely with engineers, and applying strong attention to detail to complex datasets.
What you’ll do
- Analyse, clean, and validate large datasets to ensure high data quality
- Use Python and SQL to explore data and surface insights
- Support evaluation and measurement of advanced technology products
- Work closely with technical teams to identify gaps and improvement areas
What we’re looking for
- Experience in data analysis
- Working knowledge of Python and SQL
- Strong attention to detail and analytical mindset
- Background in a STEM, data, or analytical discipline
- Nice to have
- Exposure to AI or machine learning
- Experience in a product-led tech environment
Apply now, considering candidates ASAP!