Capgemini

Data Analyst | 4-6 year | Bangalore

Posted On

May 2, 2025

Location

Bangalore, Karnataka

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

July 2, 2025

Job Description

Overview:
We are seeking a highly motivated Data Analyst with strong technical and analytical skills to join our ADAS (Advanced Driver Assistance Systems) team. This role involves working with large-scale data from vehicle systems to drive insights, support data science initiatives, and contribute to the development of safer and smarter automotive technologies.
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Responsibilities:
• Perform data cleansing, aggregation, and analysis on large, complex datasets related to ADAS components and systems.
• Build, maintain, and update dashboards and data visualizations to communicate insights effectively (Power BI preferred).
• Develop and optimize data pipelines and ETL processes.
• Create and maintain technical documentation, including data catalogs and process documentation.
• Collaborate with cross-functional teams including data scientists, software engineers, and system engineers.
• Contribute actively to the internal data science community by sharing knowledge, tools, and best practices.
• Work independently on assigned projects, managing priorities and delivering results in a dynamic, unstructured environment.
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Required Qualifications:
• Bachelor’s degree or higher in Computer Science, Data Science, or a related field.
• Minimum 3 years of experience in the IT industry, with at least 2 years in data analytics or data engineering roles.
• Proficient in Python or Pyspark with solid software development fundamentals.
• Strong experience with SQL and relational databases.
• Hands-on experience with data science, data engineering, or machine learning techniques.
• Knowledge of data modeling, data warehousing concepts, and ETL processes.
• Familiarity with data visualization tools (Power BI preferred).
• Basic understanding of cloud platforms such as Azure or AWS.
• Fundamental knowledge of ADAS functionalities is a plus.
• Strong problem-solving skills, self-driven attitude, and the ability to manage projects independently.
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Preferred Skills:
• Experience in automotive data or working with sensor data (e.g., radar, lidar, cameras).
• Familiarity with agile development methodologies.
• Understanding of big data tools and platforms such as Databricks or Spark.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Description - Grade Specific

Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area.

Skills (competencies)

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