Analyst- Data Science and Advanced Analytics

Pratt & Whitney; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Pratt & Whitney in Bengaluru seeks a data science/analytics professional to support operations analytics and digital solutions. You will work with Databricks, Spark, Python, SQL and Power BI to build dashboards, data products and reporting that improve efficiency and decision making.

You will join a team of data scientists, data analysts and software developers, use Azure DevOps, CI/CD and best practices, and collaborate with stakeholders across manufacturing and logistics.

Qualifications

• Bachelor's degree in data science or related field.
• Master's degree in data science or related field.
• 0–2 years of experience in the field.
• Proficient in Python, Spark and SQL.
• Experience with Databricks, Power BI, Azure DevOps.
• Knowledge of Agile and DevOps.
• Able to translate data into clear insights.

Responsibilities

• Design and maintain dashboards and reports (Power BI).
• Create data flows and pipelines to improve reporting.
• Clean and transform data from multiple sources.
• Conduct exploratory data analysis to identify trends.
• Translate business needs into analytics solutions with stakeholders.
• Deliver data storytelling and insights to non-technical audiences.
• Apply basic statistics and machine learning for forecasting/optimization.
• Practice disciplined software engineering with tests and reviews.

Skills

Python

Spark

SQL

Communication

Education

Bachelor's degree

Master's degree

Tools

Databricks

Power BI

Azure DevOps

Git

Confluence

Job description

Date Posted: 2026-09-17
Country: India
Location: IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli
Position Role Type: Hybrid

Who We Are:

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the wind's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Why join our team?

You will collaborate with a team of specialists and report to the Senior Manager, Data Science & Advanced Analytics, Global Operations. This team includes several branches (data governance, data science, solution delivery, AI lab).
In this role, you will work closely with Operations business units and the Digital Technology team to implement and support data science, analytics and digital solutions related to data that improve efficiency, reliability, and decision-making in operations.
You will join a team that applies industry best practices in data science and engineering - from structured development workflows in Azure DevOps, to version control, automated testing, and CI/CD pipelines. We believe in doing things the right way, the first time: clean, reproducible code, strong documentation, and collaborative reviews are at the core of how we work.
By joining our multidisciplinary team of data scientists, data analysts, and software developers, you will contribute to projects that directly support manufacturing, logistics, maintenance, and operational performance. You'll also develop your skills in data storytelling, presentation, and solution delivery, ensuring that analytics translate into measurable improvements for our colleagues.
With our modern tech stack - including Databricks, Spark, Azure DevOps, Power BI, Python, and SQL - you’ll work in an environment where innovation, collaboration, and professionalism are at the heart of everything we do.
The position is based in India, Monday to Friday, currently with hybrid work arrangement.

What You Will Do:

• Design, deploy, and maintain interactive dashboards and reports (e.g., in Power BI) to support data-driven decision-making and improve business unit performance
• Design, deploy, and maintain data flows and pipelines to improve the efficiency of reporting, data products, and analytics solutions
• Collect, clean, and transform data from multiple sources to ensure high-quality, reliable datasets
• Conduct exploratory data analysis to identify trends, patterns, and opportunities
• Work closely with stakeholders to translate business needs into analytics solutions
• Deliver data storytelling and presentations that clearly communicate insights to non-technical audiences
• Apply basic statistical and machine learning techniques when needed to support forecasting or optimization projects with our data scientists
• Practice disciplined software engineering (e.g., automated testing, code reviews, and writing pragmatic code)

Qualifications You Must Have:

• Be eligible to work in India
• 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
• Ability to work in a team and communicate effectively
• Ability to translate complex data into clear, actionable insights for business stakeholders
• Understanding of data governance, data quality, and best practices for building trust in analytics
• Proven programming skills - Python, Spark, SQL
• Knowledge of software and platforms - Databricks, Power BI, Azure DevOps, Git, Confluence
• Knowledge of Agile and DevOps methodologies

Location: Bengaluru
Shift: EST (4:30 PM to 1:30 AM)
Hybrid

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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