RTX is hiring for an FRESHER entry level Analyst- Data Science and Advanced Analytics role in India

Position: Analyst- Data Science and Advanced Analytics 
Company: RTX / Pratt & Whitney 
Location: Bengaluru, Karnataka, India 
Job type: Full time 
Job mode: Hybrid 
Job requisition id: 01864438 
Years of experience: 0-2 years

Company description

• RTX stands as the premier global giant across the entire aerospace and defense sector, boasting a total workforce of roughly 185,000 highly skilled employees worldwide.

• The company addresses the most intricate technological and engineering hurdles across defense, commercial aviation, and space exploration, leveraging cutting-edge innovation.

• Comprising three industry-leading business units, RTX continuously invests heavily in advanced research and development to pioneer breakthroughs in modern flight and global security.

• Pratt & Whitney, a critical subsidiary of RTX, has operated at the absolute forefront of aviation technology and aerospace innovation for over a full century.

• Pratt & Whitney is internationally renowned for designing, engineering, building, and servicing high-performance aircraft engines and specialized auxiliary power units.

• The company plays a vital role in transforming global aviation, consistently driving next-generation propulsion systems for commercial and military aircraft alike.

• Combining world-class operational standards with modern technology infrastructure, RTX fosters an environment dedicated to continuous progress, safety, and precision.

• The organization focuses deeply on delivering digital technology tools, data governance frameworks, and analytics pipelines that elevate operational efficiency.

• Operating in Bengaluru, India, the enterprise connects global engineering teams through unified technical ecosystems, advanced digital frameworks, and collaborative software pipelines.

• By championing inclusivity, continuous skill acquisition, and technical excellence, RTX remains a premier employer for global engineering and technology talent.

Profile overview

• The Analyst for Data Science and Advanced Analytics joins the Global Operations Digital Technology division, directly reporting to the Senior Manager of Data Science.

• This multidisciplinary position bridges the gap between operational business units and software development teams to execute actionable data strategies across manufacturing and logistics.

• The role collaborates closely with specialized internal groups spanning software delivery, artificial intelligence development labs, and global data governance units.

• Primary responsibilities center on building, deploying, and supporting advanced interactive reporting dashboards utilizing power platforms like Power BI.

• The candidate will build, optimize, and maintain automated data pipelines, streamlining analytics integration across complex operational environments.

• Daily execution includes extracting, cleaning, unifying, and transforming multi-source operational datasets into clean, accessible formats for reporting.

• The analyst conducts exploratory data analysis to discover deep operational trends, uncover systemic anomalies, and isolate performance optimization opportunities.

• Strong focus is placed on bridging communication gaps by translating technical data insights into digestible, compelling business stories for non-technical stakeholders.

• The position leverages modern software engineering principles, incorporating code reviews, structured documentation, unit testing, and automated deployment practices.

• Daily technical tasks involve constructing queries, running data science scripts, and managing enterprise platform integration using SQL, Python, Spark, and Databricks.

• Development workflows strictly adhere to Agile principles, leveraging Azure DevOps, Git repositories, and Confluence spaces for project tracking and collaboration.

• The position operates on an established US shift schedule (EST: 4:30 PM to 1:30 AM IST) while working under a flexible hybrid model in Bengaluru.

• The analyst actively participates in applying baseline statistical and machine learning algorithms to assist senior data scientists with predictive modeling.

• The ultimate objective is driving measurable business improvements, higher operational reliability, and enhanced decision-making metrics throughout global operations.

Qualifications

• Must be fully eligible and legally authorized to hold employment within the country of India.

• Possess a formal Bachelor’s degree in Data Science, Analytics, Business Intelligence, Statistics, Computer Science, Software Engineering, or a closely related quantitative field.

• Alternatively, candidates holding a Master’s degree in Data Science, Analytics, Artificial Intelligence, or Business Intelligence satisfy educational requirements.

• Demonstrate between 0 to 2 years of relevant hands-on professional work experience within data science, analytics, or software development domain.

• Strong written and verbal communication abilities required to articulate complex technical methodologies clearly to cross-functional organizational teams.

• Proven analytical capacity to translate complex operational datasets into practical, actionable business strategies for leadership teams.

• Fundamental mastery of core data governance principles, data management concepts, data quality assurance, and foundational metrics building.

• Demonstrated programming competency utilizing core languages such as Python, PySpark/Spark, and relational database queries via SQL.

• Practical workspace experience with enterprise business intelligence visualization tools, specifically establishing interactive reports through Power BI.

• Hands-on exposure to cloud data analytics architecture, modern computing platforms, and distributed processing environments using Databricks.

• Solid understanding of modern source code control, version management workflows, and collaborative development tools using Git.

• Practical exposure to agile operational frameworks, utilizing Azure DevOps alongside Confluence for project execution and documentation.

• Basic comprehension of foundational machine learning methodologies, predictive modeling concepts, and statistical methods to support forecasting initiatives.

• Willingness and ability to work regularly on an EST shift schedule (4:30 PM to 1:30 AM IST) from the Bengaluru location under a hybrid model.

Additional info

• The role operates out of the RTX facility located at IN-KA-BENGALURU-NORTHGATE, Sy No 2/2 Venkatala Village, Yelahanka Hobli, Bengaluru, Karnataka.

• Work is structured around a hybrid work arrangement, balancing on-site collaborative team sessions with flexible remote work days.

• Working hours follow a dedicated US shift model running Monday through Friday from 4:30 PM to 1:30 AM IST to align with global stakeholders.

• RTX enforces a strict policy of Equal Employment Opportunity, offering fair consideration without regard to race, religion, gender, age, or disability.

• The company maintains a modern tech stack incorporating cloud platforms like Azure, version-controlled code repositories, and automated CI/CD deployment pipelines.

• The digital technology group prioritizes building clean, well-documented, and reproducible code structures that adhere strictly to global industry standards.

• The candidate will gain continuous professional exposure to diverse operational domains including aerospace manufacturing, logistics, maintenance, and supply chain.

• RTX actively warns applicants against recruitment fraud, reiterating that legitimate hiring teams never demand sensitive financial details over informal social media channels.

• The multi-stage application procedure includes structured resume evaluation, technical phone screenings, comprehensive panel interviews, reference validation, and background checks.

• The organization offers robust internal learning opportunities, allowing entry-level analysts to continuously refine skills across machine learning, AI, and enterprise analytics architectures.

Please click here to apply.