Resource Assistant

Executive Search
Experience: 0 - 1 years
CTC Offered: ₹ 3,75,000 - 6,00,000 P.A.
Locations: Gurgaon
Job description Responsible for maintaining/operating data warehouse and providing support to internal stakeholders. Will be required to be proactive, organized, and capable of being a thought partner in ways to manage and report bulk data. Also would be responsible to work on bulk data queries; organize and summarize bulk data to make it usable and provide internal teams with data extract, ad-hoc analysis and special project support and use internet searches to address basic queries and organizing end products Required Candidate profile Bachelors in Commerce / Bachelors in Economics preferred; prior work experience helpful to have. Working experience with core Microsoft Office applications; advanced proficiency. required in: Excel (data manipulation, pivot tables, etc.), MS Word. Good written and verbal communication skills (in English). Should have thorough knowledge of mapping information & navigating in Google. Professional attitude and service orientation. Ability to work independently as well as in a team. Willing to work in a highly demanding and result-oriented team environment . RoleFinancial Analyst Industry TypeStrategy, Management Consulting Firms Functional AreaAccounts, Finance, Tax, Company Secretary, Audit Employment TypeFull Time, Permanent Role CategoryFinance/Audit Education UG :B.Com in Commerce, B.A in Economics PG :Any Postgraduate in Any Specialization, Post Graduation Not Required Key Skills Data analysisdata extractionData ManagementData WarehousingData Analyticsbulk data
Executive Search
Role: Financial Analyst
Department: Accounts, Finance, Tax, Company Secretary, Audit
Graduation Required: B.Com in Commerce, B.A in Economics
Post Graduation Required: Any Postgraduate in Any Specialization, Post Graduation Not Required
Doctrate Required: -
Strategy Management Consulting Firms
Employment Type:
Full Time Permanent
Data analysis data extraction Data Management Data Warehousing Data Analytics bulk data