Battery Test Data Analyst & KPI Insights

Scania CV AB; Södertälje kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

Scania CV AB in Södertälje invites a Data Analyst to join the Electrification Battery Test Team and contribute to data analytics for battery test data. You will handle large-scale time-series data from battery testing and develop KPIs for degradation, efficiency, and longevity.

We seek a candidate with a master's in a technical field, strong programming skills (Python, SQL, Pandas, NumPy, Spark) and experience in data analytics, ideally automotive or lab settings.

Qualifications

• Master's degree in an analytical field (Engineering, Data Science, Physics or similar).
• Robust data analytics experience, ideally in automotive or lab settings.
• Strong programming skills (Python, SQL) and experience with Pandas/NumPy/Spark.
• A passion for data visualization and time-series data analysis.

Responsibilities

• Process and analyze large-scale raw time-series data from battery testing.
• Develop KPIs to assess degradation, efficiency, and longevity.
• Automate data pipelines and improve analytical methods for insights.
• Assess correlations across sample iterations and tests at cell and pack levels.
• Communicate findings effectively to test stakeholders in written and verbal form.
• Collaborate to enhance methods and encourage new ideas.

Skills

Python

SQL

Pandas

NumPy

Spark

Data visualization

Time series analysis

Education

Master's degree in Engineering/Data Science/Physics

Tools

Python

SQL

Spark

Job description

Scania CV AB in Södertälje invites a Data Analyst to join the Electrification Battery Test Team and contribute to data analytics for battery test data. You will handle large-scale time-series data from battery testing and develop KPIs for degradation, efficiency, and longevity.

We seek a candidate with a master's in a technical field, strong programming skills (Python, SQL, Pandas, NumPy, Spark) and experience in data analytics, ideally automotive or lab settings.