Hybrid BI Developer: Insights, Dashboards & Forecasting

Hybrid BI Developer: Insights, Dashboards & Forecasting

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Handpicked Recruitment

At a Glance

  • Tasks: Create insightful BI reports and dashboards while ensuring data integrity.
  • Company: Join a dynamic team at Handpicked Recruitment in London.
  • Benefits: Enjoy a hybrid work model with competitive pay and growth opportunities.
  • Other info: Collaborate with finance and operations in a fast-paced environment.
  • Why this job: Make an impact by enhancing reporting processes and supporting analytics.
  • Qualifications: Experience in BI/ERP reporting and strong SQL skills are preferred.

The predicted salary is between 40000 - 50000 Β£ per year.

Handpicked Recruitment seeks a Business Intelligence (BI) Developer to join the London team, hybrid role.

You will develop BI reports, dashboards, and management reporting solutions, while supporting analytics platforms and data integrity across functions.

You will write SQL queries, collaborate with finance and operations, assist budgeting/forecasting, and contribute to improvements in reporting processes.

Prior experience in BI/ERP reporting is valued.

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Hybrid BI Developer: Insights, Dashboards & Forecasting employer: Handpicked Recruitment

Handpicked Recruitment is an exceptional employer that fosters a supportive and collaborative work culture, ideal for ambitious finance recruiters looking to thrive in their careers. With competitive salaries, uncapped commission structures, and clear pathways for career progression, employees are empowered to take ownership of their roles while benefiting from mentorship and professional development in prime office locations in Central London and Potters Bar.

Handpicked Recruitment

Contact Details:

Handpicked Recruitment Recruitment Team

We think you need these skills to ace Hybrid BI Developer: Insights, Dashboards & Forecasting

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