Senior Analyst-Customer Data Management 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

Master Data Management, Data Validation, SAP, CRM, Data Governance, Data Quality Auditing, Data Lifecycle Management, PowerBI, Compliance Monitoring, Process Improvement, Data Analysis, SOX Compliance, GDPR, Cybersecurity Principles, Global Trade Requirements, Operational Excellence

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 Customer Data Senior Analyst works within a multidisciplinary Customer Data team alongside analysts, specialists and manager-level professionals in quality assurance and transformation. In a structured, high-volume environment, you will analyse, validate, and maintain accurate and compliant customer data, contributing to operational excellence and 24/7 service continuity within established governance frameworks. Responsibilities include: Support operational goals and team objectives aligned with company strategy Apply defined processes, controls, and standards to ensure accurate, complete, and compliant master data Create, maintain, and update customer master data in line with governance rules and system requirements Validate incoming data requests to ensure completeness, consistency, and compliance prior to system entry or updates Identify and escalate issues requiring clarification or correction in accordance with defined processes Perform data quality checks, basic audits, and reconciliations to support data consistency across systems Actively participate in team activities, training sessions, and quality reviews to support knowledge sharing and capability development Support continuous improvement by identifying recurring data issues and contributing to process and system enhancements Expectations of the Role Success in this role will be measured through: Data quality accuracy and compliance Timely processing of data creation and updates Effectiveness in validating and processing incoming data requests Adherence to governance standards and operating procedures Accuracy in data validation, audits, and reconciliations Timely escalation of data issues Reduction in rework and data errors Contribution to process improvement and efficiency Qualifications You Must Have: Bachelor’s degree in Business, Information Management, Finance, or a related field, with 2-5 years of relevant experience; or a Master’s degree with a minimum of 2 year of experience. Experience in a data administration, master data management (MDM), operations, or back-office support Experience with enterprise systems (e.g., SAP, CRM, or similar platforms) Strong understanding of data accuracy, integrity, and lifecycle management Exposure to data governance frameworks or controlled operational environments Ability to interpret and apply data standards, procedures, and business rules in a structured environment High attention to detail and accountability for data quality Ability to manage priorities in a fast-paced environment Qualifications We Prefer: Experience supporting global operations across multiple time zones Exposure to quality, finance or compliance audits Experience working in a 24/7 operational setting Familiarity with Global Trade requirements Knowledge of the Sarbanes-Oxley Act (SOX) controls and compliance requirements Understanding of data protection and privacy regulations, including the General Data Protection Regulation (GDPR) Awareness of cybersecurity principles related to data integrity and protection Exposure to PowerBI Shifts/Work Hours: Each analyst works five (5) consecutive days, followed by two (2) days off Shifts rotate to ensure fair distribution of working hours Our three (3) standard shifts: o Morning shift (e.g., 7:00-16:00 IST) o EST shift (e.g., 16:30-1:30 IST) o Night shift (e.g., 22:00-7:00 IST) On-call support for urgent issues (limited but possible) 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Senior Analyst is responsible for analyzing, validating, and maintaining accurate customer master data within a high-volume environment. They ensure data compliance and consistency across systems while contributing to continuous process improvements and operational excellence.