Job Overview

RTX is hiring an Associate Engineer – Data Analytics for a full-time onsite position in Bengaluru, Karnataka. This opportunity is designed for fresh graduates and professionals with up to 2 years of relevant industry experience who want to build a career in data analytics within an aerospace manufacturing environment.

The role combines data preparation, reporting, visualization, process automation, and continuous improvement. You will work with teams across Quality, Engineering, Manufacturing, Supply Chain, and Program functions to turn operational information into useful insights for business and leadership decisions. The position also provides exposure to modern business intelligence tools, AI applications, and process improvement methods.

Key Responsibilities

• Collect, validate, standardize, and maintain operational and quality information from business systems.
• Work with cross-functional teams to prepare accurate data for leadership reviews and business discussions.
• Create dashboards, KPI reports, and automated reporting solutions for operational and quality metrics.
• Support reporting and process automation using Microsoft tools.
• Study trends across manufacturing, supplier, quality, and operational data to identify meaningful patterns.
• Convert analysis into practical insights that can support business and process decisions.
• Contribute to Lean, Six Sigma, Kaizen, and other continuous improvement initiatives.
• Help teams evaluate cost, quality, delivery, and productivity-related information.
• Maintain data accuracy and consistency while preparing reports and dashboards.
• Communicate findings and reporting outcomes to relevant business stakeholders.

Required Skills

Candidates should have a basic understanding of data analytics and data visualization concepts. The role requires comfort working with structured business information, identifying trends, preparing reports, and presenting information in a clear format.

Microsoft Excel and PowerPoint proficiency is required. Candidates should be able to organize information, perform basic analysis, and communicate results using business presentations. Exposure to Microsoft tools and Tableau through academic work, internships, certifications, or professional experience is also relevant.

An interest in AI tools is expected, particularly where AI can improve productivity, analysis, or business reporting. The successful candidate should demonstrate curiosity about emerging technologies and a willingness to learn new tools.

Preferred Skills

Experience with data analytics, business intelligence, dashboard development, KPI reporting, automated reports, or process improvement will strengthen an application. Candidates with internship or academic project experience involving operational, manufacturing, engineering, or business data should highlight those projects.

Basic knowledge of SQL and Python for data analysis is preferred but is not listed as a mandatory qualification. Certifications related to Power BI, Tableau, AI, Data Analytics, or Microsoft technologies can also be useful.

Education

A bachelor's degree in Engineering is required. Relevant disciplines listed for the position include Mechanical, Industrial, Production, Aerospace, Computer Science, Information Technology, and Electronics, along with related engineering fields.

Experience

The opportunity is open to fresh graduates as well as candidates with up to 2 years of relevant industry experience. This makes it suitable for entry-level professionals seeking practical exposure to analytics in a large engineering and manufacturing environment.

Applicants can demonstrate relevant experience through internships, academic projects, certifications, or professional work involving data analysis, dashboards, reporting, visualization, automation, or process improvement.

Required Technologies

The role emphasizes Microsoft tools, Microsoft Excel, Microsoft PowerPoint, Power BI, Tableau, and AI tools. Basic SQL and Python knowledge is preferred for analytical work. Data visualization, business intelligence, dashboard development, and reporting are important technology-related areas for the position.

Candidates should describe their actual level of experience with these tools and avoid listing technologies they have not used.

Soft Skills

Strong collaboration is important because the Associate Engineer will work with Quality, Engineering, Manufacturing, Supply Chain, and Program teams. Clear professional communication is needed when explaining data, reporting results, and sharing insights with stakeholders.

A continuous learning mindset is also valuable. The role is suited to someone who is curious, self-motivated, comfortable learning new technologies, and willing to work in a fast-paced environment.

Attention to detail is particularly important because the position involves collecting, validating, and maintaining business and quality data. Analytical thinking will help candidates identify trends and connect data with practical improvement opportunities.

Benefits of Working in this Role

The job description specifies several benefits associated with the position. These include Group Term Life Insurance, Group Health Insurance, Group Personal Accident Insurance, 18 days of vacation and 12 days of contingency leave annually, an employee scholar programme, work-life balance support, National Pension Scheme, LTA, and fuel and maintenance or driver wage benefits.

The role also offers practical exposure to data analytics in a global aerospace manufacturing environment. Candidates can learn about Lean principles, continuous improvement, Power BI, Tableau, AI applications, engineering data, manufacturing data, quality operations, and cross-functional business collaboration.

Work Mode

This is an onsite role. The job listing identifies the position as full time and onsite, with the workplace located in Bengaluru.

Location

The position is based at the RTX Collins Aerospace facility in Bengaluru, Karnataka, India. The listed location is IN-KA-BENGALURU-003, associated with Hoodi Village, Whitefield Road, Bengaluru.

Who Should Apply

This opportunity is well suited to fresh engineering graduates and professionals with up to 2 years of relevant experience who want to enter data analytics, business intelligence, reporting, or process improvement.

Candidates with projects or internships involving Power BI, Tableau, Excel, SQL, Python, data visualization, dashboards, KPIs, AI tools, or process improvement should highlight those experiences. Applicants interested in applying analytics to engineering and manufacturing problems may find the role particularly relevant.

Career Growth

This role can provide a foundation for careers in data analytics, business intelligence, manufacturing analytics, quality analytics, operations analytics, reporting automation, and continuous improvement. Working with multiple business functions can also help early-career professionals understand how technical analysis supports real operational decisions.

Exposure to Power BI, Tableau, AI tools, SQL, Python, Lean, Six Sigma, and Kaizen can broaden an engineer's technical and business knowledge over time. Continued development in these areas may support progression into more specialized analytics or engineering roles.

Application Advice

Keep your resume focused on measurable academic, internship, or project experience. Mention dashboards you created, datasets you analyzed, reports you automated, or process improvements you supported. Clearly identify the tools used, such as Excel, Power BI, Tableau, SQL, or Python.

If you have relevant certifications, include them in a dedicated section. Explain how you applied AI tools or data visualization rather than simply listing them as keywords. Also emphasize communication, teamwork, curiosity, and your ability to learn.

The job listing states that India external new hires require a background check, which may include a drug screen. Candidates should be prepared to complete applicable pre-employment requirements.