Data Analytics Manager – BESS Performance & Maintenance Analytics

Trina Solar; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A global energy solutions provider in Munich is looking for a Data Analytics Manager responsible for leading the analysis of operational performance in the BESS fleet. This role involves developing advanced analytics tools, delivering comprehensive reports, and guiding maintenance teams through predictive modeling. The ideal candidate should possess a degree in Data Science or related fields, with 5-8 years of analytics experience, and expertise in Python and data visualization tools. A strong communicator ready to lead a team is essential.

Qualifikationen

• 5–8+ years analytics experience in energy, industrial systems, renewables or related fields.
• Understanding of Li‑ion BESS behaviour, performance KPIs, and system data.
• Predictive maintenance experience preferred.

Aufgaben

• Lead internal analysis of operational performance across BESS fleet.
• Develop data-driven tools for proactive maintenance.
• Produce internal and customer-facing reports on performance.

Kenntnisse

Analytical skills

Proficiency with Python

Data visualization skills

Strong communication skills

Ausbildung

Degree in Data Science, Engineering, Computer Science, or similar

Tools

Power BI

SQL

Tableau

Grafana

Jobbeschreibung

Responsibilities

Role Summary: The Data Analytics Manager – is responsible for leading the internal analysis of operational performance across the company’s BESS fleet and developing advanced data-driven tools that enable proactive maintenance and improved product reliability. A key part of this role is producing high-quality internal and customer-facing reports, including monthly, quarterly, bi-annual, annual, and end-of-year performance reports, covering Corrected Round Trip Efficiency (CRTE), Availability, and other contractually required KPIs.

1. Internal BESS Performance Analytics
   • Analyse operational data (SCADA, BMS, EMS, PCS logs) from deployed BESS projects.
   • Evaluate internal KPIs including Availability, CRTE, RTE, power‑tracking accuracy, SoC/SOH behaviour, degradation, auxiliary consumption, thermal performance.
   • Create internal dashboards for real‑time and historical monitoring.
2. Reporting – Monthly, Quarterly, Bi‑Annual, Annual
   • Internal reporting:
     • Monthly site performance summaries
     • Quarterly engineering and service performance reports
     • Bi‑annual fleet performance and reliability reviews
     • Annual product performance evaluations
   • Customer‑facing reporting:
     • Monthly & Quarterly Customer Reports
     • CRTE compliance reports
     • Availability reports
     • Capacity, energy throughput, and degradation summaries
     • End‑of‑year performance reports
3. Maintenance Pre‑Analytics & Predictive Modelling
   • Develop early‑warning indicators for component wear, imbalance, derates, anomalies.
   • Build scoring tools to guide proactive maintenance.
   • Provide recommendations to the Field Service and Maintenance teams.
4. Root Cause Analysis & Warranty Support
   • Support data‑driven RCA for failures or performance deviations.
   • Validate customer claims with operational data.
   • Support warranty cases and product improvements.
5. Data Infrastructure & Automation
   • Oversee data ingestion, cleansing, validation, synchronisation.
   • Automate reporting pipelines.
   • Improve internal data models and fleet performance databases.
6. Cross‑Functional Collaboration
   • Work with Service, Engineering, R&D, Commissioning, and Product teams.
   • Provide insights supporting maintenance planning and design optimization.
7. Leadership & Team Development
   • Lead and mentor a team of analysts and data engineers.
   • Build internal capability in analytics and reporting.

Requirements

Required Qualifications & Experience:

• Degree in Data Science, Engineering, Computer Science, or similar.
• 5–8+ years analytics experience in energy, industrial systems, renewables or related fields.
• Proficiency with Python, SQL, Power BI/Tableau/Grafana.
• Understanding of Li‑ion BESS behaviour, performance KPIs, and system data.
• Strong communication and reporting skills.

Preferred Skills:

• Predictive maintenance experience.
• Knowledge of IEC/IEEE BESS standards.
• Supplier‑side experience in energy storage or power electronics.