Overview
Job Description
As a Data Analyst, you will collect, clean, analyze, and visualize data to support informed decision-making. You will apply statistical techniques to identify trends and patterns, and communicate findings through reports and visualizations. Success in this role requires strong analytical skills, attention to detail, and the ability to explain complex ideas simply. You should also have a solid grasp of statistics and data analysis techniques, along with proficiency in programming languages and data visualization tools.
Main Responsibilities
- Collect, analyze, and interpret large datasets to drive business decisions and improve performance.
- Gather relevant data from internal and external sources, clean and prepare raw data to ensure quality.
- Apply statistical and analytical techniques to extract meaningful insights.
- Create charts, graphs, and other visual representations to communicate findings effectively through storytelling, and advise users on best practices.
- Prepare reports and presentations to share insights with stakeholders.
- Utilize and maintain relevant software and tools for data analysis and visualization.
- Be familiar with basic statistical concepts such as hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, and confidence intervals.
- Draw accurate conclusions from data to avoid biases and poor decision-making.
- Ensure data security, privacy, and compliance with internal requirements and external regulations.
- Work closely with other teams to understand their data needs and provide actionable insights.
- Act as the interface between functions, the data ecosystem, and the requested solution.
- Coach the function in a data-driven mindset.
- Contribute and share best practices, findings, and techniques with the wider data community.
Qualifications
Bachelor's or Master's degree in Computer Science or a related field. Proficiency in programming languages such as Python, R, or SQL. Familiarity with data manipulation and visualization tools (e.g., Pandas, Matlab, Tableau). Participation in AI-based challenges such as Kaggle with good ranking is preferred. Experience or projects with LLM, computer vision, and 3-D vision will be an added advantage. Working knowledge of full stack programming is an advantage.
Required Skills
Soft skills: interpersonal communication, strong analytical mindset, problem-solving mindset, keen attention to detail, team player, creativity, adaptability, reliability, organizational skills, and flexibility to handle different responsibilities.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation, and sustainable growth.
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Education Requirements
- Bachelor's or Master's degree in Computer Science or related field
Eligible Batch Years

Airbus
Airbus is a leading multinational aerospace corporation headquartered in Leiden, Netherlands, with its primary operational headquarters in Toulouse, France. Founded in 1970, Airbus has grown into one of the world's foremost manufacturers of commercial aircraft, helicopters, military transports, and space systems. The company employs over 130,000 people globally and operates across multiple continents, serving airlines, governments, and defense organizations. Its mission is to pioneer sustainable aerospace for a safe and united world, focusing on innovation, efficiency, and environmental responsibility.
Airbus is renowned for its flagship aircraft families, including the A320, A350, and the iconic A380, as well as its leadership in rotorcraft through Airbus Helicopters and its contributions to space exploration via Airbus Defence and Space. In recent years, Airbus has made significant strides in developing next-generation, low-emission aircraft and advancing urban air mobility solutions. Notably, the company has been actively engaged in hydrogen-powered aircraft research and has announced ambitious targets for achieving net-zero carbon emissions by 2050, reinforcing its position as a global leader in sustainable aviation.
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