Battery Data Analyst: Predictive Analytics & Dashboards

Lyten, Inc.

Województwo pomorskie

Hybrid

PLN 120,000 - 180,000

Full time

4 days ago

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Job summary

Lyten is seeking a Data Analyst to join our Battery Energy Storage Analytics team. You’ll analyze telemetry data from battery systems, build ML models to predict degradation and failures, and develop AI-driven optimization strategies for our ESS operations.

Collaborate with engineering and operations to translate insights into actionable recommendations, create dashboards, and conduct root cause analysis to improve performance and reliability across energy storage projects.

Qualifications

2+ years in data analysis, preferably in energy/battery/IoT domains.
Proficiency with Python (pandas, PyTorch/TensorFlow), SQL, time-series analysis.
Experience with Tableau, Power BI, or Plotly/Dash.
Understanding of Li-ion chemistry, BMS, or renewable integration.
Experience with regression, neural networks, survival analysis, or RL.
Bachelor’s degree in Data Science, Statistics, Physics, or related field.

Responsibilities

Analyze high-volume battery telemetry streams.
Build predictive maintenance models using machine learning (regression, classification, time-series forecasting).
Develop anomaly detection systems for early failure.
Create automated dashboards for operational teams and stakeholders.
Collaborate with engineering teams to translate insight into actionable recommendations.
Conduct root cause analysis on cell/module performance deviations.
Document methodologies and maintain reproducible analysis pipelines.