Data Analyst at Qualifi Solutions Limited
Nottingham NG1 6FG, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 Sep, 25

Salary

34000.0

Posted On

29 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Economics, Data Analysis, Machine Learning, Computer Science, Credit Risk, Google Cloud, Python, Mathematics, Data Science, Statistics, Microsoft Excel, Platforms, Azure

Industry

Information Technology/IT

Description

JOB SUMMARY:

We are seeking an ambitious self-starting Data Analyst to join our growing team. This is an exciting opportunity for recent graduates or individuals with foundational experience in data analysis who are eager to learn in a fast-paced environment. In this role, you’ll play a key part in strengthening our core analytical capabilities and expanding our modelling capacity, helping us build a more data-driven foundation for strategic decision-making. Your contributions will directly support the development of scalable insights and innovative solutions as we continue to grow our products and services

REQUIRED SKILLS/QUALIFICATIONS:

  • 2:1 Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in Microsoft Excel and basic SQL or other Query Languages.
  • Understanding of basic statistical, modelling and data analysis concepts and techniques.
  • Strong attention to detail and problem-solving skills.
  • Effective communication and teamwork abilities.

PREFERRED SKILLS/QUALIFICATIONS:

  • Experience with Python or similar for data analysis.
  • Exposure to cloud platforms (e.g. AWS, Azure, Google Cloud).
  • Experience working with finance products and credit risk
  • Familiarity with data visualization tools
  • Experience with machine learning and AI
Responsibilities
  • Collect, clean, and validate data from various sources.
  • Perform statistical analysis and generate reports.
  • Assist in identifying trends, patterns, and anomalies in data.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Generate detailed reporting and deliver insight to our clients
  • Document processes and maintain data integrity and accuracy.
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