Senior Data QA Analyst

Luxoft; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A global technology consulting firm in the United Kingdom seeks a meticulous Data QA Analyst to join its new data team. In this role, you will ensure data accuracy and reliability through the development of test plans and execution of scripts for validation. Ideal candidates will possess strong SQL skills, data governance understanding, and excellent attention to detail. The firm values motivated individuals who can collaborate effectively with cross-functional teams to enhance data quality assurance processes.

Qualifications

• Proven experience in data QA or data analysis roles.
• Familiarity with ETL processes and data warehousing concepts.
• Understanding of data governance and metadata management.

Responsibilities

• Develop and execute test plans and scripts for data validation.
• Perform root cause analysis on data issues.
• Monitor data quality metrics and implement automated checks.

Skills

Data QA experience

Strong SQL skills

Attention to detail

Scripting and automation

Strong communication skills

Knowledge of data governance

Tools

MS SQL

PostgreSQL

PowerShell

Python

Gitlab

Job description

Project description

We are seeking a meticulous and analytical Data QA Analyst to join a new data team working with Large Language Models. You'll play a critical role in ensuring the accuracy, consistency, and reliability of our data. To ensure success as a data QA engineer, you should have programming skills and a keen eye for detail.Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups.

Responsibilities

• Develop and execute test plans, test cases, and scripts for data validation across ETL processes, databases, and reporting tools.
• Perform root cause analysis on data issues and work with engineering and analytics teams to resolve them.
• Monitor data quality metrics and implement automated checks to detect anomalies.
• Validate data transformations, aggregations, and business logic in dashboards and reports.
• Collaborate with data engineers, analysts, and product managers to define QA requirements and acceptance criteria.
• Document QA processes, test results, and data issue logs for transparency and continuous improvement.

SKILLS

Must have

• Proven experience in data QA, data analysis, or data engineering roles.
• Experience with MS SQL and PostgreSQL
• Strong SQL skills for querying and validating large datasets.
• Familiarity with data warehousing concepts and ETL processes (hands-on experience with ETL pipelines, data warehouses, and data validation at scale).
• Understanding of data governance, data lineage, and metadata management.
• Excellent attention to detail and problem-solving abilities.
• Strong communication skills to explain data issues and collaborate with cross-functional teams.
• Scripting and automation (e.g., PowerShell, Python, Java).
• Experience with Gitlab.
• Knowledge of Spotfire data visualization platform or alternative dashboard solutions.
• Awareness of Agile delivery methodologies.

Nice to have

• Experience with cloud-based database solutions.
• Understanding of data lifecycle management and SOC2 security standards.
• Familiarity with geoscience disciplines, geospatial data and GIS tools (e.g., ArcGIS, QGIS) is advantageous.
• Experience with Python or other scripting languages for automated testing.
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, AWS Redshift).
• Knowledge of data quality frameworks and tools (e.g., Great Expectations, dbt tests).