RTX is hiring an Analyst- Data Science and Advanced Analytics in Bengaluru for its Digital Technology team. The role is open to candidates with bachelor’s and master’s degrees in data science, analytics, business intelligence, statistics, computer science, software engineering or related fields, with 0-2 years of experience. The selected candidate will build dashboards, data pipelines and analytics solutions using tools such as Python, Spark, SQL, Databricks and Power BI. It is worth applying for the opportunity to work on data projects supporting aerospace manufacturing, logistics, maintenance and operational performance in a hybrid setup.
Company Overview
RTX is a global aerospace and defence company with 185,000 employees across its businesses. Its Pratt & Whitney business designs, manufactures and services aircraft engines and auxiliary power systems, while the wider group works across aerospace technology, defence and advanced research. Experience with a global engineering organisation and projects tied to real manufacturing and operations can add relevant value to a data professional’s CV.
| Company Name | RTX |
| Job Role | Analyst- Data Science and Advanced Analytics |
| Qualification | Bachelor’s degree and master’s degree in data science, analytics, business intelligence, statistics, computer science, software engineering, artificial intelligence or a related field |
| Salary | Rs. 7-10 LPA (estimated) |
| Batch | |
| Job Location | Bangalore |
| Experience | 0-2 years of experience in the related field |
| Employment Type | Full Time |
| Category | Freshers Job |
Role Overview
The Analyst will work with Operations business units and the Digital Technology team to deliver data science, analytics and digital solutions. The work covers the complete analytics cycle, from collecting and preparing data to communicating insights and supporting forecasting or optimisation projects.
- Build, deploy and maintain interactive dashboards and reports, including Power BI solutions.
- Create and maintain data flows and pipelines for reporting, data products and analytics solutions.
- Use data from multiple sources to support reliable datasets and business analysis.
- Work with stakeholders to convert business requirements into practical analytics solutions.
- Present insights through data storytelling to non-technical audiences.
- Support data science projects involving forecasting or optimisation when required.
Eligibility & Qualifications
- Bachelor’s degree in data science, analytics, business intelligence, statistics, computer science, software engineering or a related field.
- Master’s degree in data science, analytics, business intelligence, artificial intelligence or a related field.
- 0-2 years of experience in the related field.
- Be eligible to work in India.
- Ability to work in a team and communicate effectively.
- Ability to translate complex data into clear, actionable insights for business stakeholders.
- The position is based in Bengaluru and follows a hybrid work arrangement.
- The role follows the EST shift from 4:30 PM to 1:30 AM, Monday to Friday.
Key Responsibilities
- Design, deploy and maintain dashboards and reports that support data-driven decision-making and business unit performance.
- Develop data flows and pipelines to improve reporting efficiency and the delivery of analytics solutions.
- Collect, clean and transform data from multiple sources.
- Conduct exploratory data analysis to identify trends, patterns and opportunities.
- Collaborate with stakeholders to understand business needs and deliver suitable analytics solutions.
- Apply basic statistical and machine learning techniques when needed for forecasting or optimisation projects.
- Follow software engineering practices including automated testing, code reviews and pragmatic coding.
- Prepare technical documentation for the solutions and processes delivered.
Skills Required
- Programming skills in Python, Spark and SQL.
- Knowledge of Databricks, Power BI, Azure DevOps, Git and Confluence.
- Understanding of data governance, data quality and practices that build trust in analytics.
- Knowledge of Agile and DevOps methodologies.
- Ability to communicate effectively and work collaboratively in a team.
- Ability to explain complex data and insights clearly to business stakeholders.
Why Join RTX
The role offers exposure to a multidisciplinary team of data scientists, data analysts and software developers working across manufacturing, logistics, maintenance and operational performance. Candidates will use a modern technology stack that includes Databricks, Spark, Azure DevOps, Power BI, Python and SQL, while developing practical experience in data storytelling, presentation and solution delivery. The team also follows structured development practices such as version control, automated testing, CI/CD pipelines, documentation and collaborative reviews.
How to Apply for RTX Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
