Data Quality Analyst

Job Overview

TE Connectivity’s Engineering Project Management Teams manage cross functional engineering projects. They work with Product Management, Sales, Quality, Manufacturing, Finance, and other functions across TE to assure projects meet financial, schedule and customer expectations. They are responsible for defining and creating project schedules, portfolio management, communication and execution of programs, identifying resource constraints and working with management for resolution, while adhering to LeanPD processes.

Responsibilities

•    Data Validation and Cleansing:
o    Conduct regular data audits to ensure data integrity and identify discrepancies.
o    Cleanse and de-duplicate data to maintain high levels of data quality.
o    Develop and implement data validation processes and tools.
•    Data Quality Monitoring:
o    Monitor data quality metrics and report on data quality trends.
o    Implement data quality monitoring solutions to track data accuracy over time.
o    Identify and resolve data quality issues in a timely manner.
•    Data Governance:
o    Collaborate with data stewards and business units to establish data quality standards.
o    Ensure compliance with data governance policies and procedures.
o    Document data quality issues and actions taken to resolve them.
•    Data Quality Improvement:
o    Develop and implement data quality improvement initiatives.
o    Work with IT and business teams to design and implement data quality solutions.
o    Provide recommendations for improving data quality and integrity.
•    Stakeholder Collaboration:
o    Liaise with business analysts, data engineers, and other stakeholders to understand data requirements.
o    Facilitate data quality discussions and workshops with cross-functional teams.
o    Provide training and support on data quality best practices
 

Desired Candidate Profile

•    Education:
o    Bachelor’s degree in any Engineering streams, with work experience in Information Technology, Data Management, or a related field.
o    Master’s degree is a plus.
•    Experience:
o    3-6 years of experience in a data quality, data management, or data analysis role.
o    Experience with data quality tools and software (e.g., Informatica, Talend, Microsoft SQL Server Data Quality Services).
•    Technical Skills:
o    Proficiency in SQL and data manipulation languages.
o    Familiarity with data governance frameworks and data quality best practices.
o    Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
•    Soft Skills:
o    Excellent analytical and problem-solving skills.
o    Strong attention to detail and organizational skills.
o    Effective communication and collaboration abilities.
o    Ability to work independently and as part of a team.

Additional Requirements:
•    Knowledge of data protection regulations (e.g., GDPR, CCPA) is desirable.
•    Certification in data quality or data management (e.g., CDMP, IQCP) is a plus.
•    Ability to adapt to a fast-paced and changing environment
 

Competencies