Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage data extraction, cleansing, and transformation while developing analytics code.
- Company: Join a leading professional services firm in London with a focus on data-driven solutions.
- Benefits: Enjoy a hybrid work model with 2 days onsite and competitive daily rates.
- Why this job: Make an impact by generating insights from large datasets in a collaborative environment.
- Qualifications: 3-5 years of experience in data analysis with strong SQL and PySpark skills required.
- Other info: Experience in Payments or FinTech is a plus but not essential.
The predicted salary is between 45000 - 75000 £ per year.
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
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Contract
Job function
-
Job function
Consulting
-
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Halian by 2x
Sign in to set job alerts for “Data Analyst” roles.
City Of London, England, United Kingdom £39.00-£45.00 4 days ago
London, England, United Kingdom £70,000.00-£80,000.00 22 hours ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 weeks ago
Data Analyst, EMEA Supply Chain Operations – 1 Year Fixed Contract
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 week ago
City Of London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Data Analyst (SQL, PySpark, Python) employer: Halian
Contact Detail:
Halian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (SQL, PySpark, Python)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, particularly SQL, PySpark, and Python. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the FinTech and financial services sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by practising common data analysis problems and case studies. Focus on how to effectively communicate your thought process and findings, as collaboration is key in this role.
✨Tip Number 4
Research the company and its clients to understand their business model and challenges. Tailor your discussions during interviews to demonstrate how your skills can directly contribute to their goals and success.
We think you need these skills to ace Data Analyst (SQL, PySpark, Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, PySpark, and Python. Include specific projects or roles where you managed data extraction, cleansing, and transformation activities.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical skills and experience in generating actionable insights from large datasets. Mention any relevant experience in the Payments or FinTech sectors to stand out.
Showcase Technical Skills: When detailing your experience, be specific about the tools and technologies you've used. Mention any big data platforms you've worked with and how you've applied your technical skills in real-world scenarios.
Highlight Collaboration Experience: Since the role involves collaboration across teams, include examples of how you've worked with both technical and business teams to drive data-driven decision making. This will demonstrate your ability to work in a hybrid environment.
How to prepare for a job interview at Halian
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, PySpark, and Python in detail. Bring examples of projects where you've used these technologies to solve real-world problems, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining how you would approach data extraction, cleansing, and transformation tasks, as well as how you would generate insights from large datasets.
✨Highlight Collaboration Experience
Since the role involves working across technical and business teams, be ready to share examples of how you've successfully collaborated in the past. Discuss any cross-functional projects you've been part of and how you contributed to data-driven decision making.
✨Understand the Industry Context
Familiarise yourself with the Payments, FinTech, or financial services sectors, even if you don't have direct experience. Showing that you understand the industry can set you apart and demonstrate your commitment to the role.
