We are currently looking for a new colleague to join the Asset Performance and Optimization Team of Ignitis Renewables, where you’ll lead the Performance Data Analysis function to ensure timely and reliable asset performance insights that support data-driven technical and commercial decision-making across the portfolio. If that speaks to you, we’d be happy to welcome you to our team!Take YOUR part in #EnergySmart!  You will contribute to green and secure energy ecosystem creation by:<ul><li>Leading and managing a team of Performance Data Analysts, ensuring effective performance and resource planning, competency development, and high employee satisfaction and retention</li><li>Establishing, managing, and continuously improving processes within the Performance Data Analytics function, including coordination across teams, departments, and external stakeholders</li><li>Contributing to the continuous development and execution of the O&amp;M and Technical Asset Management strategy</li><li>Ensuring that performance data analytics are delivered in a timely, reliable, and high-quality manner</li><li>Reporting portfolio-level KPIs to both internal and external stakeholders, and aligning on evolving reporting needs and their implementation</li><li>Driving the development and improvement of analytics and reporting solutions for both historic and forecasted asset performance</li><li>Conducting ad-hoc analytical studies to support strategic and operational decisions with data-driven insights</li><li>Identifying trends of underperformance across the renewable energy portfolio and raising them for action and improvement opportunities.</li></ul>

Ignitis Group is a renewables-focused integrated utility.
The group&rsquo;s core activities include power and heat production and supply, power and natural gas trading and distribution, and power system maintenance and development. The development of green energy is a priority for Ignitis Group with an aim to become the region&rsquo;s main competence center for new energy and a leader in distributed energy solutions in the Baltic Sea region and beyond. Group companies operate in Lithuania, Latvia, Estonia, Poland and Finland. Group innovation fund invests in energy startups in the UK, Norway and France.

LEAD PERFORMANCE DATA ANALYST (F/M/D) | IGNITIS RENEWABLES

We are currently looking for a new colleague to join the Asset Performance and Optimization Team of Ignitis Renewables, where you’ll lead the Performance Data Analysis function to ensure timely and reliable asset performance insights that support data-driven technical and commercial decision-making across the portfolio. If that speaks to you, we’d be happy to welcome you to our team!Take YOUR part in #EnergySmart! &nbsp;You will contribute to green and secure energy ecosystem creation by:<ul><li>Leading and managing a team of Performance Data Analysts, ensuring effective performance and resource planning, competency development, and high employee satisfaction and retention</li><li>Establishing, managing, and continuously improving processes within the Performance Data Analytics function, including coordination across teams, departments, and external stakeholders</li><li>Contributing to the continuous development and execution of the O&amp;M and Technical Asset Management strategy</li><li>Ensuring that performance data analytics are delivered in a timely, reliable, and high-quality manner</li><li>Reporting portfolio-level KPIs to both internal and external stakeholders, and aligning on evolving reporting needs and their implementation</li><li>Driving the development and improvement of analytics and reporting solutions for both historic and forecasted asset performance</li><li>Conducting ad-hoc analytical studies to support strategic and operational decisions with data-driven insights</li><li>Identifying trends of underperformance across the renewable energy portfolio and raising them for action and improvement opportunities.</li></ul>

LEAD PERFORMANCE DATA ANALYST (F/M/D) | IGNITIS RENEWABLES

About the Job

About the Company

Ignitis group

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