Data Analyst

Posted 2 Days Ago
Be an Early Applicant
Gdańsk, Pomorskie, POL
In-Office
Junior
Aerospace • Automotive • Energy • Defense
The Role
Analyze high-volume battery telemetry data, build machine learning models for degradation, failure prediction, anomaly detection, and predictive maintenance, and develop AI-driven optimization strategies for energy storage operations. Create automated dashboards, perform root cause analysis on cell and module deviations, collaborate with engineering teams, and maintain documented, reproducible analytical pipelines.
Summary Generated by Built In

Lyten is leading an industrial revolution through Lyten 3D Graphene™, a breakthrough supermaterial unlocking a new generation of products — from lithium–sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive global improvement and driving real-world impact across energy, mobility, construction, and defense.

At Lyten, we believe the most meaningful careers begin with purpose — and with people who want to make a difference. We’re not just developing advanced supermaterials — we’re about to change the world as we know it, reshaping how energy is stored, how products are built, and how progress is made.

We’re entering an exciting growth phase, scaling production across the U.S. and Europe and expanding our team of engineers, scientists, and innovators.

Apply now to join our team and be part of something bigger than yourself — where collaboration, creativity, and purpose come together to build the technologies that will define the next century.


We’re 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.

Key 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
Requirements
  • 2+ years of experience in data analysis role, preferably in energy, battery, or IoT domains
  • Python (pandas, PyTorch/TensorFlow), SQL, time-series analysis
  • Proficiency with Tableau, Power BI, or Plotty/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

Why Work at Lyten

At Lyten, you’ll be part of a team that’s redefining what’s possible in energy, materials, and manufacturing. We’re not just imagining the future — we’re building it today with breakthrough technologies that are changing how products are made and how industries innovate.

Our people are the heart of that mission. From world-class scientists and engineers to creative problem-solvers in operations, manufacturing, and commercialization, every member of the Lyten team plays a role in turning bold ideas into real-world impact. We believe that the best work happens when you’re doing great things in the world — with people you like. Collaboration, curiosity, and a shared sense of purpose drive everything we do.

What You’ll Find at Lyten

  • A mission that matters: Contribute directly to solving complex challenges in energy, mobility, and materials innovation.

  • Cutting-edge innovation: Work on technologies at the intersection of materials science, energy storage, and advanced manufacturing that strengthen energy security and local supply chains.

  • Extraordinary people: Join a team of talented, friendly, and down-to-earth innovators who support, challenge, and inspire one another every day.

  • Teamwork and culture: Experience a workplace built on trust, respect, and shared success — where collaboration fuels breakthroughs and everyone’s ideas are heard.

  • Global impact: Help scale new materials and energy solutions that reinforce industrial resilience across the U.S. and Europe.

  • Career growth: Be part of a fast-moving company entering a commercial growth phase, with opportunities to lead, learn, and make your mark.

  • Purpose-driven values: Thrive in an environment that celebrates ingenuity, optimism, and meaningful progress — together.

Lyten offers the opportunity to do the most important work of your career — helping build the technologies that will power the next century of innovation.

Join us, and help transform industries, communities, and the planet with friends who share your drive to make a difference.

Skills Required

  • 2+ years of experience in a data analysis role
  • Experience in energy, battery, or IoT domains
  • Python, including pandas and PyTorch or TensorFlow
  • SQL
  • Time-series analysis
  • Proficiency with Tableau, Power BI, or Plotly/Dash
  • Understanding of Li-ion chemistry, battery management systems, or renewable integration
  • Experience with regression models, neural networks, survival analysis, or reinforcement learning
  • Bachelor's degree in Data Science, Statistics, Physics, or a related field
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The Company
452 Employees
Year Founded: 2015

What We Do

Lyten is a supermaterial applications company that leverages its proprietary 3D Graphene technology platform to develop next-generation lithium-sulfur batteries, high-strength low-carbon composites, and advanced sensors. Its mission is to provide high-performance, decarbonized products for critical infrastructure, specifically targeting the automotive, aerospace, defense, and energy storage markets to accelerate the global energy transition.

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