Finance Automation & Analytics Analyst

Finance Automation & Analytics Analyst

Full-Time 37800 - 46200 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform finance with automation and data analytics using Python and Power BI.
  • Company: Columbia Threadneedle Investments, a leader in finance innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on continuous improvement and collaboration.
  • Why this job: Join a tech-driven team to enhance finance transparency and efficiency.
  • Qualifications: Experience in finance automation, data analytics, and familiarity with Microsoft tools.

The predicted salary is between 37800 - 46200 Β£ per year.

Columbia Threadneedle Investments is seeking a technology-focused finance professional to transform controllership through automation, data analytics and reporting innovation. You will develop Python-based solutions, build Power BI dashboards, and collaborate across Finance, Risk, Compliance, Technology and Data teams to improve transparency and efficiency.

We value a self-starter mindset with a drive for continuous improvement, and familiarity with tools like Microsoft Fabric, Workday, Copilot.

Finance Automation & Analytics Analyst employer: Columbia-Threadneedle-Investments

Columbia Threadneedle Investments is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the Pan-European Small Cap Equities team. Employees benefit from extensive professional growth opportunities, exposure to diverse European companies, and the chance to work alongside seasoned experts in the field, making it a rewarding environment for those seeking meaningful careers in investment analysis.

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Contact Details:

Columbia-Threadneedle-Investments Recruitment Team

We think you need these skills to ace Finance Automation & Analytics Analyst

Python
Power BI
Data Analytics
Automation
Microsoft Fabric
Workday
Collaboration