Analyst - Data Analytics and Transformation

Overview

Data Analytics & Transformation Analyst

Key Responsibilities

• Automation Development

  : Design, build, and maintain automated testing solutions to support audit activities and streamline manual processes.

• Coding & Scripting

  : Develop, document, and maintain scripts and tools (e.g., Python, SQL, R, or similar languages) to perform automated testing and data analysis.

• Data Transformation & Analytics

  : Extract, transform, and analyze large datasets to identify anomalies, trends, and potential risk indicators.

• Testing Optimization

  : Partner with auditors to understand testing objectives and translate them into automated approaches that improve efficiency and reliability.

• Tool & Process Innovation

  : Research and recommend emerging technologies, frameworks, and methodologies that can be applied to audit testing.

• Collaboration

  : Work closely with Internal Audit team members and cross-functional stakeholders to ensure solutions meet business requirements and align with audit objectives.

• Documentation & Training

  : Prepare clear documentation of automated testing processes and provide training/support to the audit team.

Qualifications:

Experience and Skills:

• Bachelor’s Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field.
• Hands-on coding experience with languages such as Python, R, SQL, or similar.
• Experience with data manipulation, automation frameworks, and analytics tools.
• Strong understanding of data integrity, data quality, and transformation processes.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.

Desirable Skills:

• Experience in internal audit, risk management, or compliance functions.
• Familiarity with audit testing methodologies or audit management software.
• Experience with data visualization tools (Power BI, Tableau, Qlik, etc.).
• Exposure to ETL tools, APIs, or cloud-based data platforms.
• Knowledge of process mining or continuous auditing techniques.

Soft Skills:

• Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams.
• Strategic thinker with a proactive approach to fraud risk assessment and process optimization.
• Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities.

Travel:

• Between 25%-50% travel is required

Amphenol Corporation is an equal opportunity employer and we encourage applications from all qualified candidates.