Data Analyst, Battery Energy Analytics & ML

Lyten Poland Sp. z o. o; Województwo pomorskie; On-site; PLN 120,000 - 180,000; Full time

Job summary

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

Responsibilities include creating automated dashboards for operations, collaborating with engineers, and performing root cause analyses on performance deviations to drive actionable improvements.

Qualifications

• 2+ years of experience in data analysis role, preferable in energy, battery, or IoT domains.
• Proficiency with Python (pandas, PyTorch/TensorFlow), SQL, time-series analysis.
• Proficiency with Tableau, Power BI, or Plotly/Dash.
• Understanding of Li-ion chemistry, battery management systems (BMS), or renewable integration.
• Experience with regression models, neural networks, survival analysis, or reinforcement learning.
• Bachelor’s (minimum) 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.

Skills

Python

SQL

Time-series

Tableau/Power BI

ML/DL

BMS knowledge

Education

Bachelor’s in Data Science/Statistics/Physics or related field

Tools

Plotly Dash

Plotly Dash

Tableau

Power BI

Job description

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

Responsibilities include creating automated dashboards for operations, collaborating with engineers, and performing root cause analyses on performance deviations to drive actionable improvements.