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Data Analyst

Harris Global

London

On-site

GBP 40,000 - 60,000

Full time

Yesterday
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Job summary

Harris Global is seeking a skilled Data Analyst for a permanent position with a leading client in London. In this collaborative role, you will analyze complex datasets, design interactive dashboards, and partner with stakeholders to provide tailored data solutions. Ideal candidates will have a strong background in statistics and practical experience in financial services.

Qualifications

  • 3+ years in a Data Analyst or Business Intelligence role.
  • Experience in financial services or fintech preferred.
  • Familiarity with data lakes/warehouses.

Responsibilities

  • Analyse large datasets to uncover trends across operational areas.
  • Design and maintain dashboards and reports for decision making.
  • Partner with stakeholders to deliver tailored data solutions.

Skills

SQL
Python
R

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics

Tools

Snowflake
Databricks

Job description

Harris Global is currently seeking an experienced Data Analyst to join a leading client on a permanent basis. This is a highly collaborative role, requiring both technical expertise and strong business acumen.

Key Responsibilities:

  • Analyse large and complex datasets to uncover trends and opportunities across core operational areas.
  • Design, build and maintain interactive dashboards and reports to support strategic and operational decision making.
  • Partner with business stakeholders to gather requirements and deliver tailored data solutions.
  • Ensure accuracy, consistency and quality of data used across analytics and reporting.

Required Qualifications & Skills:

Education & Experience:

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics or related field.
  • 3+ years in a Data Analyst or Business Intelligence role.
  • Experience in financial services or fintech preferred.
  • Strong SQL and experience with Python, R or similar.
  • Familiarity with data lakes/warehouses (Snowflake, Databricks).

If you meet the above criteria and are looking for your next challenge, we’d love to hear from you – apply now!

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