F135 Data Quality and Management (Hybrid)

Key Skills

Analytical and Problem solving, Data science techniques, Effective communication skills, Microsoft Office suites, Python Programming, SQL, XML-JSON

Job Description

The F135 Data quality Team is seeking a motivated self-starter for Senior Analyst position. The candidate will work in East Hartford, CT, supporting the integration of F135 propulsion system into the Autonomic Logistics Information System (ALIS).

As a F135 Data Quality Senior Analyst, you will play a vital role in ensuring the accuracy, reliability, and integrity of data related to the F135 engine program. You will be responsible for analyzing, validating, and enhancing data processes to support critical decision-making for the program. Your expertise will help identify data quality issues, develop strategies for improvement, and maintain data integrity to ensure the F135 program's success.

Key Responsibilities: 

• Analyze large datasets and perform data profiling to identify inconsistencies, errors, and data quality issues within the F135 engine program's data ecosystem.
• Develop and implement data validation procedures to ensure the accuracy and completeness of data collected from various sources and systems.
• Collaborate with cross-functional teams to enrich data by incorporating additional attributes and relevant information to improve the overall data quality and utility.
• Implement data governance policies, standards, and best practices to maintain data integrity and adhere to industry regulations. Investigate and resolve data-related issues and discrepancies in a timely manner, communicating findings to relevant stakeholders.
• Continuously evaluate existing data processes and propose enhancements to optimize data quality and streamline data management procedures.
• Monitor data quality metrics and perform regular audits to ensure adherence to established data quality standards and guidelines and prepare comprehensive reports and documentation on data quality findings, recommendations, and actions taken.

Basic Qualifications:

• Bachelor’s degree in computer science, Data Science, Information Management, or a related field.
• A minimum of 5 years of experience in data analysis, data quality management, data querying and manipulation using SQL, Python, and statistical analysis software, as well as experience with markup language such as XML.
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Preferred Qualifications:

• Advanced degrees or certifications are a plus.
• Strong analytical and problem-solving skills to identify data issues and propose effective solutions, as well as attention to detail to ensure accuracy and precision in data validation and analysis.
• Excellent written and verbal communication skills to convey complex data quality concepts to both technical and non-technical stakeholders.
• Experienced with MS office Suites.
• Proven ability to work collaboratively in a cross-functional team environment.
• Ability to adapt to evolving data quality requirements and technological advancements in the field.

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is: Hybrid

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. This means that responsibilities of the job need to be performed onsite on a regular basis.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.