Description: • The Data Encryption Analyst is responsible for implementing a cryptographic inventory process that includes collecting cryptographic configuration settings from network(s) and applications to identify the use of weak settings, engage respective asset owners, follow-up and track configuration updates. • The Data Encryption Analyst is also responsible for gathering requests for guidance from application teams and working with a cross-functional subject matter expert (SMEs) to identify possible solutions and provide guidance. • The person preferably has hands-on experience in configuring TLS, including tasks like obtaining a certificate from a trusted CA, installing it on the system, defining cipher suites, and ensuring proper TLS handshake. • Prior experience with encryption key management, including implementing policies, monitoring compliance, and ensuring secure handling of cryptographic materials, is preferred. Required Skills: • 2-3 years of experience collecting encryption configuration settings from a variety of network and application security tools, correlate, analyze, and provide actionable insights. • Strong understanding of cryptographic standards and their use (Encryption, Hashing, Digital Certificates, Digital Signature, etc). • Knowledge of data classification, encryption, and key management. • Experience in working with any of the following tools: Extra Hop, Nessus, Tenable, Wiz, Splunk, or any other security monitoring tools. • Strong analytical skills using Excel or Power BI, and problem-solving skills with attention to detail. • Excellent communication and documentation abilities. • Working experience in cybersecurity, data security, or data protection operations. Nice to Have: • Thorough understanding of the Public Key Infrastructure (PKI), secure encryption algorithms, modes, and the Transport Layer Security (TLS). • Understanding of symmetric and asymmetric encryption and respective use cases. • Familiarity with cryptographic services in AWS, Azure, and Google Cloud. • Use of scripting languages (e.g., Python) for data manipulation and automation. • Certifications in information security.