Job Overview

Volvo Group India is offering an ExcelHer Data Analysis Engineer opportunity in Bangalore, Karnataka through its career returnship program. The ExcelHer program is designed for professionals of any gender who have taken a career break of one year or more and are looking to restart their careers with an opportunity to rebuild confidence, refresh technical skills, and contribute to meaningful engineering work.

This is a 9-month assignment focused on data analysis and engineering datasets, with particular emphasis on battery testing and AI-assisted analysis. The participant will work with battery engineers, data specialists, and software teams to understand test data, identify useful signals and KPIs, develop analysis scripts and workflows, and support an AI-based assistant for test result verification.

The opportunity is suitable for professionals returning to technology or engineering after a career break who have a basic understanding of data analysis and programming and are interested in AI, machine learning, engineering analytics, and intelligent assistants. The program also provides professional development opportunities, mentorship from a business leader, and collaboration with diverse teams across functions, technologies, and cultures.

Key Responsibilities

• Collect and interpret relevant battery testing datasets and understand their engineering context.
• Examine raw, structured, and semi-structured data to identify useful information for analysis.
• Determine important battery testing parameters, signals, and key performance indicators.
• Develop Python scripts, workflows, prototypes, or supporting tools for engineering data analysis.
• Support AI-based or rule-based approaches for checking and verifying test results.
• Evaluate an AI assistant using representative battery test cases and sample datasets.
• Compare AI-supported results with expected engineering outcomes and help validate the findings.
• Analyze trends, unusual behavior, and potential anomalies in battery test information.
• Identify ways to improve the usability, robustness, and scalability of analysis workflows.
• Work closely with battery engineers, data specialists, and software development teams.
• Record analysis methods, observations, results, workflows, and recommendations in clear documentation.
• Contribute to an AI-enabled assistant that can support engineering investigations and reporting.
• Help establish a technical foundation that may later be extended to additional systems and components.

Required Skills

Candidates should have a basic understanding of data analysis and engineering datasets, along with an interest in using technology to solve practical engineering problems. Programming experience in Python or a similar language is expected. The ability to work with raw, structured, and semi-structured data is also important.

A strong analytical and problem-solving mindset will help in understanding battery test behavior, identifying meaningful patterns, and comparing analytical results with engineering expectations. Candidates should also be comfortable learning unfamiliar engineering concepts and applying structured approaches to new problems.

Preferred Skills

An interest in artificial intelligence, machine learning, or intelligent assistants is particularly relevant to this opportunity. Experience with data analysis projects, engineering analytics, scripting, prototype development, or AI-supported workflows can strengthen an application.

Candidates who have worked with different data formats, created reusable analysis scripts, documented technical findings, or collaborated with software and engineering teams may be well suited to the role. Practical experience is valuable, but the ExcelHer program is specifically intended to support professionals returning after a career break.

Education

The provided job description does not specify a mandatory educational qualification. Candidates should highlight relevant education, professional training, technical certifications, or practical experience related to software, data analysis, engineering, Python, AI, or machine learning where applicable.

Experience

No specific number of years of professional experience is stated. The key eligibility condition for the ExcelHer program is a career break of one year or more. The program is intended for professionals who are ready to restart their careers and bring previous experience together with a willingness to learn current technologies and engineering domains.

Required Technologies

• Python or similar programming languages
• Data analysis
• Engineering datasets
• AI
• Machine learning
• Intelligent assistants
• Structured data
• Semi-structured data
• AI-based logic
• Rule-based logic

Soft Skills

Strong communication and documentation skills are important because the participant will need to explain findings, record workflows, and collaborate with engineering and software teams. Analytical thinking is essential for interpreting test information and validating AI-supported outputs against engineering expectations.

A willingness to learn is equally important. The role involves working across data analysis, battery engineering, software, and AI-related areas, so candidates should be comfortable exploring new technical domains. Collaboration, curiosity, ownership, and the ability to work constructively with cross-functional colleagues will support success in the program.

Benefits of Working in this Role

The ExcelHer program provides a structured route for professionals returning to the workforce after a career break. Participants receive access to professional development opportunities, mentorship from a business leader, and the opportunity to collaborate with teams across functions, technologies, and cultures.

The assignment also provides practical exposure to engineering data analysis, battery testing, AI-assisted verification, Python-based workflows, and collaboration between engineering and software teams. These experiences can help returning professionals refresh their technical capabilities while contributing to work connected with sustainable transport technology.

Work Mode

The provided job description does not specify a remote or hybrid work arrangement. The role is based in Bangalore, Karnataka, and no travel is required. Candidates should confirm the applicable workplace arrangement with Volvo Group during the recruitment process.

Location

The opportunity is based in Bangalore, Karnataka, India, within Volvo Group's Trucks Technology & Industrial organization. The position is categorized under Technology Engineering and requires no travel.

Who Should Apply

This opportunity is specifically aimed at professionals seeking to restart their careers after a career break of one year or more. It is open to individuals across genders who have relevant technical or engineering interests and want to return to professional work.

Candidates with Python or similar programming skills, data analysis knowledge, an interest in AI or machine learning, and the ability to work with engineering datasets should consider applying. Previous experience does not need to follow a traditional path; the ability to learn, collaborate, analyze data, and contribute to engineering solutions is important.

Career Growth

The 9-month assignment can help returning professionals rebuild recent technical experience and strengthen skills in data analysis, Python, AI-assisted engineering workflows, and cross-functional collaboration. Experience gained through battery data analysis and AI-based test verification can support future opportunities in data engineering, data analysis, software engineering, engineering analytics, AI applications, and related technology roles.

Working with battery engineers, data specialists, and software teams can also broaden understanding of how software and data technologies are applied to real engineering systems. The program's professional development and mentorship components can further support a structured return to the workplace.

Application Advice

Applicants should clearly explain their technical background and career-break context in their resume or application. Highlight Python or similar programming experience, data analysis projects, engineering datasets, AI or machine learning exposure, and examples of structured problem solving.

If you have worked on personal, academic, or professional projects involving data processing, anomaly detection, automation, AI assistants, engineering analysis, or technical scripting, describe the problem and your contribution clearly. Include examples that demonstrate your ability to learn new tools, communicate findings, document technical work, and collaborate with different teams.

Because this is a career returnship, focus on transferable experience as well as recent learning. Demonstrating curiosity and readiness to rebuild current technical skills can be just as important as listing previous job titles.