Reporting Specialist Energy Metering & KPIs in London

Reporting Specialist Energy Metering & KPIs in London

London Full-Time 29700 - 36300 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse energy data and develop insightful dashboards to drive performance.
  • Company: Join a forward-thinking company focused on sustainability and innovation.
  • Benefits: Flexible working hours, competitive pay, and opportunities for growth.
  • Other info: Collaborative team environment with a focus on personal development.
  • Why this job: Make a real difference in energy efficiency while honing your analytical skills.
  • Qualifications: Degree in Energy, Engineering, or Data Analytics; passion for data analysis is key.

The predicted salary is between 29700 - 36300 £ per year.

Your role at a glance The Energy Reporting Specialist (Metering & KPIs) will support the Optimization & Analytics Team by collecting and analyzing energy data, developing dashboards and reports, and supporting metering data quality across the global portfolio.

The role has a strong focus on data analysis, KPI reporting, and performance monitoring, while also supporting metering structure, data validation, and governance activities.

What you will do * Support metering data quality and support issue identification and rectification process with all stakeholders * Support the identification of missing or additional metering required for performance measurement and billing purposes * Collect, validate, and analyse energy, water, and fuel consumption data from multiple sources including BMS, metering systems, and energy platforms * Develop, maintain, and improve energy performance dashboards and recurring reports (e. g.

PUE, EER, CER, WUE) * Support portfolio-level KPI tracking, trending, and performance analysis across multiple sites and countries * Identify data quality issues, anomalies, and gaps in metering or reporting and support resolution with relevant stakeholders * Support metering data quality, availability, and documentation including meter mapping and logs * Assist with automated data capture and integration of metering and BMS data into central energy platforms * Support compliance and certification reporting requirements (e. g.

ISO 50001, EN 50600, etc) * Provide analytical support for energy efficiency initiatives, business cases, and performance reviews * Support sites with energy data, KPIs, and performance insights * Maintain clear documentation, reports, and presentations for internal stakeholders What we are looking for 1.

Degree or relevant qualification in Energy, Engineering, Environmental Science, Data Analytics, or related field 2.

Strong interest in energy data, KPIs, and performance analysis; prior experience desirable but no...

Reporting Specialist Energy Metering & KPIs in London employer: NTT Global Data Centers EMEA UK

As a Reporting Specialist in Energy Metering & KPIs, you will thrive in a dynamic work environment that prioritises innovation and sustainability. Our company fosters a collaborative culture where your analytical skills will be valued, and you will have ample opportunities for professional growth through training and development initiatives. Located in a vibrant area, we offer a unique chance to contribute to impactful energy efficiency projects while enjoying a supportive workplace that champions work-life balance.

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Contact Details:

NTT Global Data Centers EMEA UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Reporting Specialist Energy Metering & KPIs in London

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We think you need these skills to ace Reporting Specialist Energy Metering & KPIs in London

Data Analysis
KPI Reporting
Performance Monitoring
Metering Data Quality
Data Validation
Dashboard Development
Energy Performance Metrics (PUE, EER, CER, WUE)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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