Data Readiness Analyst (Hybrid)

Date Posted: 2026-09-09. This is a hybrid role based in Charlotte, NC. Must be authorized to work in the U.S. without the company's immigration sponsorship now or in the future; the company will not offer immigration sponsorship or seek export authorization for this position. No security clearance required.

About the Role

The Enterprise Data Management Team member is responsible for supporting ERP data migration and harmonization initiatives by applying deep expertise in Business Unit (BU) systems, data structures, and operational processes. This role works collaboratively with DT Data SMEs and BU Functional Data SMEs to ensure accurate and timely data mapping, cleansing, and validation, while contributing to the development of harmonized data for enterprise reporting and analytics. The position also oversees the creation of data-cleansing metrics and reports and partners with BU data leads to drive business-level data quality improvements in preparation for upcoming S/4 migrations.

Responsibilities

• Data Cleansing & Validation: Collaborate with BU Functional Data SMEs and BU Data leads to perform data cleansing activities, ensuring all data is prepared for migration according to project timelines.
• Data Harmonization: Support data harmonization across the BU, ensuring that the data is standardized and structured for effective reporting and analytics post-ERP implementation.
• Issue Resolution: Proactively identify and resolve data-related issues during the data extraction, cleansing, and migration phases.
• Continuous Improvement: Provide feedback on process improvements related to data management, system integration, and data governance.
• Business Rules Validation: Ensure that business rules applied to the legacy data are correctly translated and reflected in the new S/4 system.
• Defect Resolution: Identify and work to resolve any data issues that arise during the cleansing and migration processes, ensuring that data quality standards are met.
• Collaboration with DT Teams: Work closely with the BU DT Data SME and Data Migration teams to ensure alignment on data requirements, mapping, and quality expectations.
• Ongoing Data Management: Continue to support data accuracy and integrity efforts in the S/4 system post-migration to ensure consistency with business processes and reporting needs.

Qualifications

• Typically requires a University Degree and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience.
• Must be authorized to work in the U.S. without the company's immigration sponsorship now or in the future (U.S. Citizen or Green Card Holder).
• Strong understanding of core modules like MM (Material Management), SD (Sales & Distribution), or FI/CO (Financial/Controlling).
• Strong understanding of SAP data structures, relationships, and source tables that will be part of the ERP migration.
• SAP deployment experience with a clear understanding of object relationships and the ability to anticipate and address potential issues early.

Preferred Qualifications

• Experience with SQL (Oracle, Snowflake, SQL Server).
• Experience with ABAP programming and debugging.
• Familiarity with Syniti or related data profiling and migration tools.

Benefits

• Medical, dental, and vision insurance.
• Three weeks of vacation for newly hired employees.
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option.
• Tuition reimbursement program.
• Student Loan Repayment Program.
• Life insurance and disability coverage.
• Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection.
• Birth, adoption, parental leave benefits.
• Ovia Health, fertility, and family planning.
• Adoption Assistance.
• Autism Benefit.
• Employee Assistance Plan, including up to 10 free counseling sessions.
• Healthy You Incentives, wellness rewards program.
• Doctor on Demand, virtual doctor visits.
• Bright Horizons, child, and elder care services.
• Teladoc Medical Experts, second opinion program.

Pay

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

Schedule

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

About the Team

Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies? Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there's no better place to be right now than in digital. If you're an agile thinker who enjoys utilizing modern technology to make big improvements, then you're a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today!

This response is AI-generated, for reference only.