Document & Engineering Data Senior Analyst
Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
5–8 yrs
Employment Type
Full-time
Openings
1 position
Apply By
Sep 10, 2026
Required Skills
Job Description
• Manage and ensure the quality, integrity, and governance of engineering data, documents, and models across projects and operational assets. • Support engineering data management processes through quality assessments, risk management, continuous improvement initiatives, and stakeholder collaboration. • Act as a key point of contact for engineering data support, ensuring accurate, compliant, and accessible information for business decision-making Skillset • Assess and validate engineering data, documents, and models to ensure accuracy and compliance with established standards. • Implement and monitor data quality controls, governance processes, and audit requirements. • Identify data-related risks and recommend corrective and preventive actions. • Support engineering data cleanup, migration, and maintenance activities, including CAD-related documentation. • Generate quality and performance reports to support operational and management decisions. • Provide end-user support, troubleshoot issues, and manage service requests related to engineering data systems. • Contribute to process improvements, data standards development, and system enhancement initiatives. • Collaborate with engineering, project, and business stakeholders to improve data quality and operational efficiency.
Qualification and Experience: • Bachelor's degree in Engineering (Mechanical, Electrical, Instrumentation, Process Engineering, or related discipline). • 5+ years of experience in Engineering Data Management, CAD Design, or Document Management within a project-driven environment. • Strong understanding of engineering drawings, technical documentation, and engineering data lifecycle management. • Experience working with Electronic Document Management Systems (EDMS) and Engineering Data Warehouses. • Knowledge of information governance, quality assurance, data analytics, and risk management practices. • Strong analytical, problem-solving, stakeholder management, and customer support skills. • Experience in process improvement, requirements management, and continuous improvement initiatives. • Excellent verbal and written communication skills in English
At a Glance
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.
- STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
- STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
- STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
- STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
Apply
Document & Engineering Data Senior Analyst
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