ROLE
– Monitor day-to-day performance of the entire distributed solar fleet using Freyr’s Fleet View platform, identifying anomalies, generation shortfalls, and degradation trends.
– Triage and escalate system performance issues to the relevant internal teams and track them through to resolution.
– Establish and maintain performance benchmarks and alert thresholds across the fleet to enable proactive issue detection.
– Conduct deep-dive analysis on system performance data to identify patterns, root causes of underperformance, and opportunities for improvement.
– Build dashboards, reports, and periodic fleet health scorecards to keep stakeholders informed on key generation and performance metrics.
– Translate data findings into concrete recommendations for Freyr’s procurement, design, and installation teams to improve future system performance.
– Partner with the Product Development team to define feature requirements, test enhancements, and provide user feedback for the Fleet View platform.
– Collaborate with the Customer Experience team to close the loop on customer complaints related to system performance, ensuring timely communication and resolution.
– Work with field operations to validate data insights against ground-level observations.
– Identify systemic improvement areas across the solar value chain that directly impact customer experience and energy yield.
– Drive adoption of data-driven decision-making within the CX function to elevate overall service quality.

REQUIREMENTS
– 2–4 years of experience in data analytics, performance monitoring, or a related analytical role.
– Advanced proficiency in Microsoft Excel.
– Strong analytical mindset with the ability to translate raw data into clear, actionable narratives for both technical and non-technical audiences.
– Excellent communication and stakeholder management skills.
– Bachelor’s degree in Engineering, Data Science, Business Analytics, or a related field.
– Experience with solar asset monitoring, energy analytics, or renewable energy operations.
– Familiarity with BI/visualization tools such as Power BI, Tableau, or Metabase.
– Exposure to IoT data, SCADA systems, or inverter-level monitoring platforms.
– Basic SQL or Python skills for data extraction and automation.