Data Collection Analyst: Stakeholder Collaboration in Leeds

Data Collection Analyst: Stakeholder Collaboration in Leeds

Leeds Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Financial Conduct Authority

At a Glance

  • Tasks: Support data management and collection best practices while evaluating data proposals.
  • Company: Join the Financial Conduct Authority, a leader in financial regulation.
  • Benefits: Enjoy a hybrid work model, private healthcare, and flexible benefits.
  • Other info: Dynamic role with opportunities for professional growth and collaboration.
  • Why this job: Make a real impact by developing processes for data consistency and scale.
  • Qualifications: Experience in data analysis, stakeholder engagement, and proficiency in SQL and Python.

The predicted salary is between 35000 - 45000 Β£ per year.

The Financial Conduct Authority is seeking a Data Analyst (Data Collection) to support data management and collection best practices. You will evaluate data proposals and develop processes for consistency and scale.

Ideal candidates have experience in data analysis, and stakeholder engagement, and are proficient in SQL and Python.

Benefits include a hybrid work model, private healthcare, and a flexible benefits scheme.

Data Collection Analyst: Stakeholder Collaboration in Leeds employer: Financial Conduct Authority

The Financial Conduct Authority is an excellent employer, offering a dynamic work environment that fosters collaboration and innovation in data management. With a strong commitment to employee growth, you will benefit from a hybrid work model, private healthcare, and a flexible benefits scheme, making it an ideal place for those looking to make a meaningful impact in the financial sector.

Financial Conduct Authority

Contact Details:

Financial Conduct Authority Recruitment Team

We think you need these skills to ace Data Collection Analyst: Stakeholder Collaboration in Leeds

Data Analysis
Stakeholder Engagement
SQL
Python
Data Management
Process Development
Consistency in Data Collection