Data Analyst (SQL, PySpark, Python)
Posted 7 days ago by Halian
Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role involves supporting a key client engagement within a professional services division, focusing on data extraction, cleansing, and transformation. The position requires expertise in SQL, PySpark, and Python to analyze large datasets and generate actionable insights. This is a hybrid role based in London, requiring two days onsite per week, and is classified as inside IR35. The contract is initially for one year.
Key Responsibilities:
- Independently manage data extraction, cleansing, and transformation activities
- Develop production-grade analytics code using SQL, PySpark, and Python
- Analyze large-scale datasets to generate actionable insights and visualizations
- Collaborate across technical and business teams to drive data-driven decision making
Key Skills:
- 3–5 years' hands-on experience in data analysis, insight generation, and data visualization
- Proven expertise in SQL and PySpark, with solid working knowledge of Python
- Background working with big data platforms, large datasets, and pipelines
- Strong analytical thinking and a collaborative, self-directed working style
- Experience in the Payments, FinTech, or financial services sector is highly desirable, though not mandatory
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Data Analyst (SQL, PySpark, Python) London - Hybrid (2 Days Onsite) Inside IR35 - Daily Rate
Our client is seeking an experienced Data Analyst to support a key client engagement within their professional services division. This is an initial 1 year contract based in London, operating on a hybrid basis (2 days onsite per week) and falling inside IR35.
Key Responsibilities:
- Independently manage data extraction, cleansing, and transformation activities
- Develop production-grade analytics code using SQL, PySpark, and Python
- Analyze large-scale datasets to generate actionable insights and visualizations
- Collaborate across technical and business teams to drive data-driven decision making
Required Experience:
- 3–5 years' hands-on experience in data analysis, insight generation, and data visualization
- Proven expertise in SQL and PySpark, with solid working knowledge of Python
- Background working with big data platforms, large datasets, and pipelines
- Strong analytical thinking and a collaborative, self-directed working style
- Experience in the Payments, FinTech, or financial services sector is highly desirable, though not mandatory