Senior Analyst- Data Science Customer Programs at RTX Canada

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, SQL, Data Engineering, Data Analytics, Power BI, Tableau, Apache Spark, Python, PySpark, Data Governance, Data Modeling, Data Quality Monitoring, Cloud Platforms, Azure, AWS, Lakehouse Architecture

Industry

Aviation and Aerospace Component Manufacturing

Description

Date Posted: 2026-05-17 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 largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’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. What You Will Do: The P&WC engine programs are powering 5 engine markets: Regional turboprop aircrafts, General aviation aircrafts, Business jets aircrafts, Helicopters and Auxiliary power systems on larger aircrafts, which help connecting people and economies around the world. The Data Analyst supports the Customer Programs Hub (CPH) organization by developing data products, building data quality monitoring controls, and enabling data-driven decision-making. This role works closely with Data Stewards, Data Engineers, Digital Technology (DT) teams, and business stakeholders to ensure that enterprise data is reliable, monitored, and structured for analytics, reporting, and operational insights. Responsibilities include: Develop and maintain data products in Databricks, preparing curated datasets ready for publication and downstream consumption. Design and implement data quality monitoring dashboards and reporting controls to track data completeness, accuracy, and timeliness. Support the Data Stewardship team by translating recurring data issues into automated monitoring controls, validations, and reporting tools. Analyze operational data to identify patterns, anomalies, and systemic data quality issues. Contribute to data governance initiatives, including data standardization, metadata documentation, and monitoring controls. Develop SQL queries, data transformations, and analytical workflows to support operational reporting and data governance initiatives. Collaborate with data engineers from DT and system owners from the business to ensure data pipelines and datasets are structured for reliable analysis and reporting. Contribute to the development of data models, curated datasets, and analytical views used by internal teams. Support internal teams by delivering analytical reports, dashboards, and visualizations that drive operational efficiency. Provide analytical support to stakeholders by delivering insights, reports, and visualizations that support operational decision-making. Participate in root cause investigations of recurring data issues and help design analytical solutions to prevent recurrence. Qualifications You Must Have: B.Sc/ B.C.A/ B.E/ B.Tech in Data Analytics/ Data Science/ Big Data/ Computer Science/ IT. Minimum 2-5 years of relevant experience in Data Engineering Or Data Analytics roles Working experience in the aviation industry, preferably within Technical Services, Customer Support Services, or Engineering data environments. Experience developing analytical datasets or data products in modern data platforms such as Databricks or similar environments. Experience writing SQL queries and performing data transformations for analytics and reporting. Hands-on experience developing analytical datasets or data products in modern data platforms such as Databricks or similar cloud-based environments. Demonstrated experience working with large operational datasets to identify trends, anomalies, and data integrity issues. Excellent verbal and written communication skills, with the ability to effectively collaborate with global stakeholders Qualifications We Prefer: Experience working with Databricks, Apache Spark, or cloud-based data platforms (Azure / AWS) for large-scale data processing and analytics. Experience building interactive dashboards and analytical visualizations using tools such as Microsoft Power BI or Tableau Familiarity with data pipelines, Lakehouse architecture, and curated data layers used in modern analytics platforms. Exposure to Python, PySpark, or automation scripting for data processing and analytical workflows. Shifts/Work Hours: UK Shift (12:30 PM to 9:30 PM IST). Hybrid Model Location: Bengaluru. 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

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Responsibilities

Develop and maintain data products and quality monitoring controls in Databricks to enable data-driven decision-making. Collaborate with stakeholders and engineers to ensure enterprise data is reliable, structured, and effectively visualized for operational insights.