You'll help global clients ensure their critical data is accurate, complete, and ready to use within Diligents platforms. As a Professional Services Data Entry Specialist, you’ll work across the end-to-end data implementation lifecycle—from understanding client requirements and mapping data through migration, quality assurance, user acceptance testing, and transition to production.

This is a technical and client-facing role. You’ll work directly with clients and internal teams to understand requirements, resolve data-related issues, explain implementation outcomes, and ensure successful delivery. The ideal candidate combines strong data and Excel skills with the communication, ownership, and technical aptitude needed to work confidently with customers.

The role is approximately 60% technical/data focused and 40% customer facing.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff)

- Manage and deliver end-to-end client data implementation activities, from requirements gathering and data mapping through migration, validation, UAT, and production transition.
- Participate in client meetings, data-mapping sessions, and workshops to understand requirements and translate them into practical data solutions.
- Migrate, transform, and validate client data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness.
- Perform data analysis, quality assurance, reconciliation, and validation to identify discrepancies and resolve data issues.
- Use Advanced Excel to manipulate, analyse, format, and manage large datasets and bulk data/document uploads.
- Work with SQL and databases to investigate, validate, and analyse data where required.
- Document data mappings,



technical processes, requirements, and implementation activities clearly.
- Support User Acceptance Testing (UAT) by investigating issues, validating results, and working with clients to resolve data-related concerns.
- Communicate directly with clients to explain how their data has been loaded, where it resides within the system, and how issues have been addressed.
- Provide clear progress updates to clients and internal stakeholders and proactively identify risks, dependencies, and data-quality issues.
- Take end-to-end ownership of assigned deliverables and ensure work is completed accurately and on time.
- Identify opportunities to improve data workflows, templates, processes, and automation.
- Leverage AI tools and internal technologies to improve data processing, analysis, and delivery.

These are the essentials you’ll need to get an interview:

- Hands-on experience in a data-focused, analytical, data migration, implementation, consulting, professional services, or similar technical role.
- Strong Microsoft Excel skills, including advanced functions for manipulating, analysing, and validating data.
- Experience with data analysis, data validation, reconciliation, or quality assurance.
- Practical experience with SQL and/or databases and an understanding of how data is structured and retrieved.




- Demonstrated ability to identify discrepancies, investigate issues, and maintain a high level of data accuracy.
- Proven experience with client, customer, or external stakeholder interaction.
- Strong written and verbal English communication skills.
- Ability to explain technical or data-related information clearly to non-technical stakeholders.
- Demonstrated ability to take end-to-end ownership of work rather than operating purely in a back-office support capacity.
- Strong analytical, problem-solving, and technical aptitude.
- Comfortable working in a fast-paced, multi-disciplinary environment and managing multiple priorities and deadlines.

It would be great if you had these too, but we’ll support you if you don’t:

- Experience in client-facing consulting, implementation, qualified services, or project delivery.
- Experience conducting client meetings, workshops, requirements gathering, or data-mapping sessions.
- Experience with ETL, data migration, or data transformation.
- Experience with UAT, QA, testing, or implementation projects.
- Experience using AI-powered tools for data processing, analysis, or automation.
- Basic to intermediate Python scripting skills for automating repetitive/manual tasks, data processing, file handling, data validation, reporting, or workflow activities.
- Experience designing or improving data processes, templates, workflows, or automation.
- Experience working with CRM, SaaS, enterprise software, or technology platforms.
- Experience in corporate governance, company secretarial, legal, risk, or compliance data.
- Familiarity with governance or board-management software.

📌 Data Entry Specialist (Bengaluru)
🏢 Diligent
📍 Bengaluru