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Data Quality Analyst

Harnham

Birmingham

Hybrid

GBP 35,000 - 55,000

Full time

25 days ago

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Job summary

A leading company specializing in investment management seeks a Data Quality Analyst in Birmingham. The role involves ensuring data integrity through profiling, fixing SQL queries, and automating processes in Python. Ideal candidates should have experience with financial datasets and thrive in small, agile teams.

Qualifications

  • Ability to build and fix complex SQL queries.
  • Experience in scripting and automating processes using Python.
  • Interest in private equity or startup ecosystems.

Responsibilities

  • Own the end-to-end data quality lifecycle.
  • Write SQL queries to fix issues in the data warehouse.
  • Work with Python to automate data validation.

Skills

Strong SQL
Python
Experience with financial/investment data
Comfort working in small, agile teams

Tools

Snowflake

Job description

Harnham Birmingham, England, United Kingdom

Data Quality Analyst

Harnham Birmingham, England, United Kingdom

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Recruitment Consultant - Engineering & Governance (North and Midlands) at Harnham

Data Quality Analyst

Remote (1x month in London)

We’re working with a small company who specialise in the investment space. They are looking for a Data Quality Analyst to help ensure that data flowing through the system is complete, clean, and reliable.

Responsibilities

  • Own the end-to-end data quality lifecycle, from profiling to documentation
  • Write SQL queries to fix issues directly in the data warehouse
  • Work with Python to automate data validation and monitoring processes
  • Build and run automated reports to ensure ongoing data integrity
  • Collaborate with the lead analyst and Head of Data to continuously improve internal data processes
  • Work closely with financial and investment datasets to support high-profile users

Skills

  • Strong SQL (PostgreSQL preferred) – ability to build and fix complex queries
  • Python for scripting and automation
  • Experience with financial/investment data
  • Comfort working in small, agile teams

Nice-to-Haves

  • Exposure to Snowflake
  • Interest in private equity or startup ecosystems
  • Willingness to specialise long-term in data quality

Interview Process

  • Call with Lead Analyst
  • Technical assessment
  • Final interview with the CEO
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Investment Management

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