Location: Gurugram, India

Date Posted: Jul 23, 2026

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative setting and engaging work—guided by A&M;'s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.;

The Team

We are looking for a Salesforce Administrator to manage, enhance, and support our Salesforce platform. The role involves platform administration, user support, workflow automation, data management, reporting, and collaboration with business and technical teams to deliver scalable CRM solutions.

How you will contribute
Administer Salesforce users, roles, profiles, permission sets, and security.
Configure custom objects, fields,



page layouts, record types, validation rules, and Lightning pages.
Design and maintain Flows, approval processes, and other declarative automations.
Manage data quality through imports, exports, deduplication, and governance.
Develop reports and dashboards to support business decision-making.
Provide end-user support, troubleshooting, and training.
Support Salesforce releases, testing, and integrations with enterprise systems.

Qualifications
Bachelor’s degree in engineering, Computer Science, Information Systems, or a related field.
2–5 years of Salesforce Administration experience.
Hands-on experience with Salesforce Lightning and Flow Builder.
Robust understanding of Salesforce security, reporting, and data management.
Experience with Data Loader and Microsoft Excel.
Salesforce Administrator Certification preferred.
Robust analytical, communication, and stakeholder

📌 Associate, Salesforce Administrator Gurugram
🏢 Alvarez & Marsal
📍 Gurugram