Data Analyst
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description:
The Airbus India Innovation Centre (AIC) is at the forefront of the companys digital transformation particularly within the Innovation and Engineering departments. As we move towards Industrialisation of AI the department focuses on applying Advanced Analytics Machine Learning and Deep Tech to solve critical aerospace challengesranging from generative design and predictive maintenance to autonomous systems.
In this fast-paced environment the Innovation Team acts as an internal incubator for disruptive technologies. Our projects follow a rigorous lifecycle from Proof of Concept (PoC) to full industrial deployment. To support these goals AIC seeks to onboard a Data Analyst to be the bridge between raw engineering data and production-ready AI products. The scope will not just clean data; but it will be to analyze complex aerospace datasets to drive the development validation and deployment of AI-driven solutions. The Data Analyst will work closely with AI lead and Product Managers to ensure data integrity throughout the product lifecycle.
Job Profile Summary:
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.
Job Description:
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.
Key Competencies: Competencyand Skill Level
Applied probabilities & Statistics 2 - Autonomous Level
Data Governance Management System 2 - Autonomous Level
Data Science: Advanced Analytics 2 - Autonomous Level
Data Science: Data visualisation & Coms 3 - Advanced Level
Data Science: Data Wrangling 2 - Autonomous Level
Data Security 1 - Basic Level
Generative AI Essentials & Prompting 3 - Advanced Level
Eco-design & Sustainability of Digital services 1 - Basic Level
Competency Scale:
Basic Level: Basic level of expertise performs routine and/or recurrent tasks implies partial supervision.
Autonomous Level : Ability to solve problems autonomously no supervision required in these tasks. Can deal with unforeseen issues.
Advanced Level: High Level of knowledge and wide experience which is internally recognised. Could be a mentor/coach/advisor to support skill development of other colleagues
Education and Experience:
Education: Bachelors degree in a quantitative technical field (e.g. Data Science Statistics Mathematics or Aerospace Engineering). A Masters or Ph.D. in a quantitative field (e.g. Physics Mathematics Aerospace Engineering or Computer Science) is an advantage.
Industry Tenure: 3 years of professional experience in a data-centric role.
Subject matter expertise in business or product data with a strong preference for candidates familiar with aviation-specific datasets (flight telemetry maintenance logs or passenger data).
Expert proficiency in SQL and querying relational databases (PostgreSQL MySQL Oracle).
Strong command of Python or R for statistical modeling and Excel for rapid data manipulation.
Proven experience building high-impact dashboards in Tableau Power BI or similar platforms.
Experience with terminal-based AI tools (e.g. Claude Code) and a working knowledge of agentic frameworks like Google ADK.
Solid understanding of statistical concepts (hypothesis testing regressions distributions) and data cleaning techniques for complex messy datasets.
Demonstrated ability to work within a Quality Management System (QMS). You must ensure all analysis is reproducible documented and ready for industry audits.
High degree of accuracy when handling complex data structures to ensure aircraft-grade reliability in reporting.
Ability to translate raw numbers into The Story Behind the Data providing actionable recommendations to non-technical leaders and global stakeholders.
A collaborative mindset ready to partner with AI Engineers and Product Managers to ensure data insights drive end-to-end product success.
A self-starter who keeps pace with emerging data technologies and shifts within the aviation industry.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.
Company:
Airbus India Private LimitedEmployment Type:
Permanent-------
Experience Level:
Entry LevelJob Family:
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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.
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.
Required Experience:
IC
