Data Validation & Quality Analyst (SQL/ETL) in Douglas

Data Validation & Quality Analyst (SQL/ETL) in Douglas

Douglas Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Bullfinch

At a Glance

  • Tasks: Validate data pipelines and ensure data quality across systems.
  • Company: Bullfinch, a data-driven organisation in the UK.
  • Benefits: Competitive salary and opportunities for professional growth.
  • Other info: Join a dynamic team focused on maintaining high data standards.
  • Why this job: Make a significant impact on data integrity in a collaborative environment.
  • Qualifications: Strong experience in data testing, SQL skills, and knowledge of data warehousing.

The predicted salary is between 30000 - 40000 Β£ per year.

Bullfinch, located in the United Kingdom, is looking for a detail-oriented Test Analyst to ensure data quality across systems and platforms. The role involves validating data pipelines and collaborating with various stakeholders to maintain data integrity.

Ideal candidates should have strong experience in data testing and validation, proficient SQL skills, and an understanding of data warehousing concepts. This is an excellent opportunity for individuals looking to contribute significantly to a data-driven organization.

Data Validation & Quality Analyst (SQL/ETL) in Douglas employer: Bullfinch

Bullfinch is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow and develop their skills in data validation and quality assurance. With a strong focus on employee well-being and professional development, Bullfinch offers competitive benefits and unique opportunities to make a meaningful impact in a data-driven environment, all while being situated in the vibrant landscape of the United Kingdom.

Bullfinch

Contact Details:

Bullfinch Recruitment Team

We think you need these skills to ace Data Validation & Quality Analyst (SQL/ETL) in Douglas

Communication Skills
Problem-Solving Skills
Python
SQL
Attention to Detail
Automation
Data Quality Assurance