AIRBUS

Data Analyst

Bangalore Area Full time

Job Description:

Data Analyst - Job Overview

A data analyst is responsible for collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. They use statistical techniques to identify trends and patterns in data and communicate their findings through reports and visualizations. To be successful in this role, data analysts need to have strong analytical skills, attention to detail, and the ability to communicate complex ideas in a simple way. They should also have a strong understanding of statistics and data analysis techniques, as well as proficiency in programming languages and data visualization tools.

Main responsibilities

  • Responsible for collecting, analysing and interpreting large datasets to help drive informed business decisions and improve overall performance.
  • Utilizing methodologies and approaches such as Data collection by gathering relevant data from various internal and external sources,  Data Cleaning and Preparation: Processing raw data to ensure data quality.
  • Data Analysis: Applying statistical and analytical techniques to extract meaningful insights from the data.
  • Data Visualization: Creating charts, graphs, and other visual representations to communicate findings effectively through clear storytelling and also advises users appropriately on this.
  • Reporting and Presentation: Preparing reports and presentations to share insights with stakeholders.
  • Tool and Technology Management: Utilizing and maintaining relevant software and tools for data analysis and visualization. 
  • Statistics and probability: be familiar with basic statistical concepts such as hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, confidence intervals, etc.
  • This is key to be able to draw accurate conclusions from data and avoid biases and wrong decision making
  • Ensuring data security, privacy, and compliance with internal requirements and external regulations.
  • Working closely with other teams and departments to understand their data needs and provide actionable insights.
  • Be the interface between their functions, the data ecosystem and the requested solution.
  • Coach the function in the data-driven mind-set.
  • Actively contribute and share best practices, findings, and techniques with the wider data community.

Qualifications

● Bachelors or masters in computer science or 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 Kaggel with good ranking 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
● 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.

Company:

Airbus India Private Limited

Employment Type:

Permanent

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Experience Level:

Entry Level

Job Family:

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.