Hybrid: B2B Pricing Analyst – Power BI & Energy Markets in Belfast

Hybrid: B2B Pricing Analyst – Power BI & Energy Markets in Belfast

Belfast Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
SSE PLC

At a Glance

  • Tasks: Support B2B pricing strategies and manage trade requests using Power BI.
  • Company: Join SSE plc, a leader in the energy market with a focus on innovation.
  • Benefits: Enjoy a competitive salary and flexible benefits tailored for you.
  • Other info: Work hybrid between Dublin and Belfast with great career growth potential.
  • Why this job: Make an impact in the energy sector while developing your analytical skills.
  • Qualifications: Experience with Power BI, strong Excel skills, and data handling expertise.

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

SSE plc is looking for a skilled professional in Belfast to support B2B pricing strategies and manage trade requests. You will work 50% of the time in either Dublin or Belfast and contribute to pricing strategy recommendations.

The ideal candidate should have experience building Power BI dashboards, strong Excel skills, and the ability to handle complex data sets. The role comes with a competitive salary and a range of flexible benefits.

Hybrid: B2B Pricing Analyst – Power BI & Energy Markets in Belfast employer: SSE PLC

SSE plc is an excellent employer that fosters a dynamic work culture in Belfast, offering employees the chance to engage in meaningful projects within the energy sector. With a commitment to professional growth, you will have access to extensive training and development opportunities, alongside a competitive salary and flexible benefits that cater to your lifestyle. Join us to be part of a forward-thinking team that values innovation and collaboration in shaping the future of energy.

SSE PLC

Contact Details:

SSE PLC Recruitment Team

We think you need these skills to ace Hybrid: B2B Pricing Analyst – Power BI & Energy Markets in Belfast

Power BI
Excel
Data Management
B2B Pricing Strategies
Data Analysis
Complex Data Sets
Pricing Strategy Recommendations