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Data Quality Analyst

hackajob

United Kingdom

On-site

GBP 80,000 - 100,000

Full time

Yesterday
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Job summary

An innovative firm is on the lookout for a detail-oriented Data Quality Analyst to enhance their data-driven products. In this pivotal role, you will collaborate with software engineers and AI scientists to ensure high-quality applications through rigorous testing and data analysis. Your expertise in Python scripting and business intelligence tools will be crucial in identifying trends and improving product quality. Join a dynamic team that values precision and collaboration, and contribute to impactful projects in a fast-paced environment. This opportunity is perfect for those who thrive on challenges and are passionate about data excellence.

Qualifications

  • 3+ years of experience in data quality and analysis.
  • Proficient in Python and data visualization tools like Power BI.

Responsibilities

  • Analyze test data and logs to ensure data quality.
  • Develop and maintain test plans and automated test suites.

Skills

Python
Data Analysis
Manual Testing
Automated Testing
Microsoft Excel
Business Intelligence Tools
Agile Methodologies
Linux Command Line

Education

Bachelor's degree in Computer Science
Equivalent Experience

Tools

Power BI
Pandas
Git

Job description

hackajob is collaborating with Verisk to connect them with exceptional tech professionals for this role.

Job Title

Data Quality Analyst

Job Overview

We are seeking a skilled and detail-oriented Quality Analyst to join our team. The ideal candidate will have hands-on experience with Python scripting, data analysis and both manual and automated testing of applications supporting business objectives. In this role, you will collaborate closely with software engineers, AI scientists, and cross-functional teams to ensure the delivery of high-quality, reliable, and data-driven products and solutions.

Key Responsibilities

  • Analyze test data, logs, and other relevant information to identify issues and ensure high data quality.
  • Own the software QA process, including developing, implementing, and maintaining test plans, scenarios, and cases.
  • Perform both manual and automated tests for websites and applications.
  • Write and maintain Python scripts to support data analysis.
  • Analyze requirement and design specifications to develop relevant test cases.
  • Develop and maintain automated test suites for web and application testing using appropriate tools and frameworks.
  • Identify and report defects with clear steps to reproduce.
  • Manage testing across multiple applications using a range of tools and technologies.
  • Support and execute application testing phases (functional and non-functional) to ensure software meets requirements before production.
  • Perform end-to-end testing for the entire application, ensuring that all components and interactions work as expected from the user’s perspective.
  • Coordinate with developers and AI analysts to identify requirements, potential issues, and improvements in both functional and non-functional aspects of the software.
  • Identify, document, and track defects in the software, providing clear, concise information to facilitate quick resolution.
  • Stay current with industry trends and best practices to improve the quality and efficiency of the testing process.

Qualifications

  • At least 3 years of experience in a relevant field.
  • Ability to analyze and review data to identify patterns, issues, and trends within datasets, logs, and reports. Strong attention to detail and ability to draw actionable insights from complex data sets.
  • Proficient in Microsoft Excel, including advanced functions, pivot tables, and data visualization for reporting and analysis
  • Knowledge of common Python data analysis libraries (e.g., Pandas).
  • Skilled in using business intelligence tools like Power BI to visualize and analyze test data, uncover trends, and provide data-driven recommendations to improve product quality.
  • Strong background in QA process development, execution, and documentation.
  • Proficiency in manual and automated testing methodologies, including quality concepts.
  • Good understanding of git and working collaboratively on team-level code bases.
  • Experience with Agile and Scrum methodologies.
  • Knowledge of cloud technologies and platforms such as AWS is a plus.
  • Experience with the Linux command line and basic Linux server administration skills is a plus.
  • Prior experience in the P&C insurance industry is a plus.
  • Bachelor’s degree in computer science or a related field, or equivalent experience.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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