Data Analysis Engineer

The Volvo Group India interview process typically involves a technical interview, followed by an HR interview. The technical interview assesses the candidate's technical skills and knowledge, while the HR interview evaluates their communication skills, teamwork, and cultural fit. Candidates can expect to be asked questions on data analysis, AI/ML, engineering datasets, and problem-solving.

Volvo Group India has a strong focus on innovation, sustainability, and customer satisfaction. The company provides a collaborative and inclusive work environment, with opportunities for growth and development. The work-life balance is also a priority, with flexible working hours and a range of employee benefits.

B.E/B.Tech qualification, career break of one year or more, basic understanding of data analysis and engineering datasets, Python or a similar programming language, AI/ML interest, problem-solving, analytical thinking, documentation, and cross-functional collaboration

Round 1: Technical interview → Round 2: HR interview (based on company knowledge)

Volvo Recruitment 2026 | Data Analysis Engineer | Bangalore August 12, 2026 Table of Contents Volvo Recruitment 2026 | Data Analysis Engineer | Bangalore | ExcelHer Program Are you an engineering graduate or an experienced professional looking to restart your career in data analysis, artificial intelligence, machine learning, and engineering analytics? Volvo Group India is hiring for the position of ExcelHer – Data Analysis Engineer in Bangalore. Join Our WhatsApp Channel for Free Job Alerts Join Our Telegram Group for Free Job Alerts This Volvo Recruitment 2026 opportunity is part of the ExcelHer career returnship program, which is designed for professionals who have taken a career break of one year or more and are ready to return to the workforce. The role combines data analysis, Python programming, battery testing data, AI-based verification, engineering analytics, and collaboration with software and engineering teams. Participants will work on an AI-based assistant designed to process and analyze battery testing data, identify trends and anomalies, and support engineers in validating test results. Although the supplied job overview lists the experience category as Freshers, this should not be interpreted as a conventional fresher hiring program. The detailed description specifically states that ExcelHer is a career returnship program for individuals with a career break of one year or more. The program provides a 9-month assignment along with professional development opportunities, mentorship from a business leader, and exposure to teams working across functions, technologies, and cultures. Candidates can also explore our 2025 Batch Off Campus Jobs, BE/BTech Jobs, and Bangalore Off Campus Jobs for more opportunities. About Volvo Group India Volvo Group is a global manufacturer and technology company operating across areas such as transportation, infrastructure, mobility, and related engineering systems. The supplied job description places this opportunity within Volvo Group India and specifically connects it to the ExcelHer career returnship initiative. The ExcelHer program is designed to provide professionals returning after a career break with an opportunity to rebuild professional momentum through practical project work, mentorship, professional development, and collaboration. For this particular Data Analysis Engineer role, the technical focus is on battery test data and AI-assisted engineering analysis. This means participants will work at the intersection of engineering data, software, analytics, and artificial intelligence. Volvo Recruitment 2026 – Job Overview Category Details Company Volvo Group India Job Role ExcelHer – Data Analysis Engineer Qualification B.E/B.Tech Experience Listed Freshers Program ExcelHer Career Returnship Career Break 1 Year or More Assignment Duration 9 Months Location Bangalore, Karnataka Programming Python or Similar Languages Data Domain Battery Testing Data Technology Areas Data Analysis, AI, Machine Learning Salary/CTC Not Specified Last Date ASAP About the ExcelHer – Data Analysis Engineer Role The Data Analysis Engineer position is part of Volvo Group India’s ExcelHer returnship program. The role focuses on analyzing battery testing datasets and helping develop an AI-based assistant that can support engineering teams. Participants will collect and understand battery test data, identify important parameters and signals, develop scripts and analytical workflows, and help implement AI- or rule-based logic for validating test results. An important part of the role is comparing AI-generated outputs with engineering expectations. This means the candidate will not simply train a model and stop there. The work includes validation, testing, analysis, usability improvement, robustness, documentation, and collaboration. The role is therefore suitable for someone who enjoys both technical analysis and understanding how engineering systems behave in the real world. Key Responsibilities Collect and understand relevant battery testing datasets. Identify important battery-test parameters, signals, and KPIs. Analyze raw, structured, and semi-structured engineering data. Develop scripts and workflows for engineering data analysis. Build prototype tools that support data analysis and investigation. Support the implementation of AI-based logic for test-result verification. Support rule-based approaches for validating engineering test results. Test the AI assistant using representative battery test cases. Compare AI-supported outputs against expected engineering results. Validate the accuracy and usefulness of analytical outputs. Identify trends, anomalies, and unusual behavior in battery test data. Identify opportunities to improve the usability of the AI assistant. Support improvements in robustness and scalability. Collaborate with battery engineers and data specialists. Work with software teams to develop and improve analytical solutions. Document analysis, findings, workflows, and recommendations. Contribute to improving engineering investigation and reporting processes. Support the extension of the solution to other systems and components. Skills & Eligibility Education: B.E/B.Tech qualification. Program: The opportunity is part of Volvo Group India’s ExcelHer career returnship program. Career Break: The program is designed for individuals who have taken a career break of one year or more. Data Analysis: Basic understanding of data analysis and engineering datasets. Programming: Python or a similar programming language. AI/ML: Interest in artificial intelligence, machine learning, or intelligent assistants. Data Formats: Ability to work with raw, structured, and semi-structured data. Problem Solving: Strong analytical and problem-solving mindset. Engineering Interest: Willingness to learn new engineering domains. Communication: Good communication skills. Documentation: Ability to document analytical work, findings, and recommendations clearly. Collaboration: Ability to work with engineering, data, and software teams. 💡 Pro Tip: AI and machine learning are central to this role. To strengthen your practical AI skills before applying, check out The AI Engineer Course 2025. What Is the ExcelHer Program? ExcelHer is Volvo Group India’s career returnship program for professionals who have taken a career break of one year or more and are ready to restart their careers. The program is designed to help participants return to professional life through practical work, mentorship, professional development, and collaboration. The supplied description states that the program offers a 9-month assignment. This makes ExcelHer different from a standard fresher recruitment drive. The job overview categorizes the position as “Freshers,” but the program description clearly establishes the target audience as professionals returning after a career break. Candidates should therefore evaluate their eligibility based on the ExcelHer returnship criteria rather than assuming that the opportunity is intended only for recent graduates. Who Should Apply for ExcelHer? The program is particularly relevant for professionals who: Have taken a career break of at least one year. Have a B.E/B.Tech qualification for this particular position. Want to restart their engineering or technology career. Have previous technical, analytical, or engineering experience. Are willing to refresh their technical skills. Want exposure to AI, data analytics, and engineering technology. The supplied job description also says that the program is open to individuals across genders. A career break does not automatically mean that a candidate has lost technical capability. The returnship model provides an opportunity to demonstrate current skills through a defined project and structured professional environment. Battery Data Analysis in This Role One of the most distinctive aspects of this position is the use of battery testing data. Battery testing generates measurements from different tests and operating conditions. Engineers may need to examine signals, parameters, KPIs, trends, and anomalies to determine whether a battery system is behaving as expected. A Data Analysis Engineer supports this work by converting raw engineering data into useful information. This can involve: Identifying important signals. Cleaning raw datasets. Detecting abnormal values. Comparing test results. Finding trends over time. Calculating engineering KPIs. Supporting automated test verification. Generating analysis and reports. The candidate will need both analytical thinking and an understanding of how data connects to engineering decisions. AI Assistant Development The role includes contributing to an AI-based assistant designed to help engineers work with battery testing information. The assistant is expected to process and analyze raw battery test data, identify trends and anomalies, support verification of test results, and improve the efficiency of engineering investigations and reporting. The role therefore involves more than simply using an existing AI tool. Participants will help test the assistant and determine whether its outputs are consistent with engineering expectations. That validation step is important. An AI system can produce a plausible answer that is nevertheless incorrect. Engineering applications therefore require systematic comparison between AI-supported outputs and trusted engineering criteria. AI and Rule-Based Verification The job description mentions both AI-based and rule-based logic for test-result verification. A rule-based system may use predefined engineering criteria. For example, if a parameter is expected to remain within a particular range, a rule can automatically flag results outside that range. An AI-based system may identify more complex patterns that are difficult to capture through simple fixed rules. The engineer’s responsibility is to help determine whether these approaches produce useful and reliable results. This makes concepts such as validation, accuracy, false positives, false negatives, explainability, and robustness relevant to the role. Python Skills for the Data Analysis Engineer Role Python is explicitly mentioned as a desired programming skill. Candidates should be comfortable with basic Python programming and ideally have some exposure to data analysis libraries. Important topics to revise include: Python syntax and data types Lists, dictionaries, tuples, and sets Functions Loops and conditional logic File handling Exception handling Object-oriented programming basics JSON and structured data NumPy basics pandas basics Data cleaning Data filtering and transformation Candidates should be able to write a small script that reads a dataset, cleans it, extracts useful information, and produces an analytical output. Working With Raw, Structured and Semi-Structured Data The role mentions the ability to work with raw, structured, and semi-structured data formats. Structured data is organized into predefined formats such as rows and columns in a database. Semi-structured data has some organizational structure but may not follow a rigid tabular format. JSON and XML are common examples. Raw engineering data can be considerably more complicated and may contain missing values, inconsistent formats, duplicated measurements, incorrect readings, or other quality issues. Candidates should therefore understand basic data-cleaning techniques and be comfortable investigating data before applying analytical methods. Data Validation and Quality Data quality is particularly important when the results are being used for engineering decisions. Candidates should consider: Missing values Duplicate records Outliers Incorrect units Unexpected ranges Inconsistent timestamps Sensor anomalies Incorrect data types A good analytical workflow does not assume that every input value is correct. The candidate should understand how to identify questionable data, document the issue, and determine whether it should be corrected, excluded, or flagged. Cross-Functional Collaboration The position requires collaboration with battery engineers, data specialists, and software teams. This means the candidate will need to communicate across different technical disciplines. A battery engineer may understand the physical meaning of a signal but may not be familiar with a machine learning pipeline. A software engineer may understand the implementation but not the engineering significance of a particular battery anomaly. The Data Analysis Engineer helps connect these areas by turning engineering requirements into data and software workflows. Documentation and Reporting Documentation is explicitly mentioned in the requirements. Participants will document: Data-analysis workflows Findings Test results AI assistant behavior Validation results Recommendations Prototype workflows Good technical documentation makes analytical work reproducible and easier for other team members to understand. Candidates should therefore practice explaining their work clearly rather than relying only on code. How to Prepare for Volvo Recruitment 2026? 1. Strengthen Python: Revise Python fundamentals and practice using pandas and NumPy for data analysis. 2. Learn Data Cleaning: Practice identifying missing values, duplicates, outliers, inconsistent formats, and invalid records. 3. Study Basic Machine Learning: Understand supervised learning, unsupervised learning, anomaly detection, model evaluation, and data preprocessing. 4. Learn AI Validation: Understand how AI outputs can be compared against expected results and engineering rules. 5. Practice Data Visualization: Learn how to communicate trends and anomalies through appropriate charts and plots. 6. Understand Engineering Data: Learn how time-series measurements, signals, KPIs, and test conditions can be analyzed. 7. Build a Small Project: Take a public engineering or battery dataset and create a Python analysis pipeline that cleans data, identifies anomalies, and produces a report. 8. Prepare for Collaboration: Practice explaining technical findings to someone who does not specialize in data science. 9. Refresh Documentation Skills: Learn to write concise technical findings and recommendations. Who Can Apply for Volvo Recruitment 2026? The supplied job description lists B.E/B.Tech as the educational requirement and identifies the role as Freshers in the job overview. However, the opportunity is explicitly part of the ExcelHer career returnship program, which is intended for individuals who have taken a career break of one year or more. Therefore, this should not be presented as a conventional fresher job for recent graduates. The ideal candidate should combine the required academic background with an interest in data analysis, Python, AI/ML, engineering datasets, and battery testing. Career Opportunities After the ExcelHer Assignment The experience gained through this role can support several future career paths, depending on the participant’s background and interests: Data Analyst Data Analysis Engineer Data Scientist Machine Learning Engineer AI Engineer Engineering Data Analyst Battery Data Analyst Data Engineer Analytics Engineer The combination of engineering data and AI exposure can be particularly useful for professionals seeking to transition toward data-driven engineering roles. What Makes This Volvo Opportunity Different? This opportunity combines three areas that are increasingly connected in modern engineering: Engineering: Understanding battery testing, signals, parameters, and KPIs. Data: Collecting, cleaning, processing, and analyzing engineering datasets. AI: Developing and validating an AI assistant that can support engineering investigations. The participant will therefore gain exposure to a practical problem where AI needs to work within an established engineering context. That makes the validation component particularly important. The goal is not simply to produce an AI output, but to determine whether that output is reliable enough to support engineering work. ExcelHer Program Benefits According to the supplied job description, the ExcelHer program provides participants with: A 9-month assignment. Professional development opportunities. Mentorship from a business leader. Exposure to diverse teams. Cross-functional collaboration. Exposure to different technologies and cultures. An opportunity to restart a professional career after a career break. These features make the role different from a conventional entry-level permanent position and particularly relevant to candidates looking to re-enter the workforce. How to Apply for Volvo Recruitment 2026? Interested and eligible candidates can apply online for the ExcelHer – Data Analysis Engineer position through the official Volvo Group Careers portal. The supplied listing provides the direct application URL and identifies Bangalore as the location. Before applying, candidates should make sure their resumes clearly highlight: B.E/B.Tech qualification Previous engineering or analytical experience Python Data analysis AI/ML exposure Engineering datasets Battery or automotive-related projects, if applicable Problem-solving Documentation Cross-functional collaboration Candidates returning after a career break should also make their previous relevant experience visible rather than presenting their career break as the central feature of the resume. You can also explore our 2025 Batch Jobs, BE/BTech Jobs, Bangalore Off Campus Jobs, and Any Degree Off Campus Jobs for additional opportunities. Important Points to Remember Company: Volvo Group India Program: ExcelHer Career Returnship Job Role: ExcelHer – Data Analysis Engineer Qualification: B.E/B.Tech Experience Listed: Freshers Career Break: 1 year or more for ExcelHer eligibility Assignment Duration: 9 Months Location: Bangalore, Karnataka Programming: Python or similar language Domain: Battery Testing Data Technology: AI, Machine Learning, Data Analysis Work: AI-based assistant for engineering data analysis and test verification Salary/CTC: Not specified Last Date: ASAP Frequently Asked Questions (FAQ) 1. What is the eligibility for Volvo Recruitment 2026 Data Analysis Engineer? The supplied job description requires a B.E/B.Tech qualification. The position is part of Volvo Group India’s ExcelHer program, which is designed for professionals who have taken a career break of one year or more. 2. Is Volvo ExcelHer Data Analysis Engineer a fresher job? The job overview lists Freshers, but the detailed program description says ExcelHer is a returnship for individuals with a career break of at least one year. It should therefore not be treated as a conventional fresher recruitment drive. 3. What is the ExcelHer program at Volvo? ExcelHer is Volvo Group India’s career returnship program designed to help professionals who have taken a career break of one year or more return to the workforce. 4. How long is the Volvo ExcelHer program? The supplied job description states that the ExcelHer program provides a 9-month assignment. 5. What skills are required for Volvo Data Analysis Engineer? Important skills include data analysis, Python or a similar programming language, engineering datasets, AI/ML interest, problem solving, analytical thinking, documentation, and cross-functional collaboration. 6. Does the Volvo Data Analysis Engineer role involve AI? Yes. Participants will support the development of an AI-based assistant that processes battery test data, identifies trends and anomalies, and helps verify engineering test results. 7. What type of data will the Data Analysis Engineer work with? The role involves working with battery testing datasets, including raw, structured, and semi-structured data. Participants will identify relevant signals, parameters, KPIs, trends, and anomalies. 8. Is Python required for Volvo ExcelHer? Python or a similar programming language is listed as a desired skill. Candidates should be comfortable using programming to analyze and process engineering data. 9. Where is the Volvo Data Analysis Engineer job located? The position is based in Bangalore, Karnataka, India. 10. Who can apply for the Volvo ExcelHer program? The program is designed for individuals across genders who have taken a career break of one year or more and are ready to restart their careers. The specific Data Analysis Engineer position requires a B.E/B.Tech qualification. Check Out More Off Campus Jobs 2025 Batch Off Campus Jobs BE/BTech Jobs Bangalore Off Campus Jobs Any Degree Off Campus Jobs Accenture Off Campus