Data Analyst

9 hours ago

Gurgaon, Haryana, India Valueonshore ('VOS') Advisors Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Company Description

Valueonshore (VOS) Advisors is a global business advisory services firm, founded in 2009 by Big 4 alumni and industry executives. The firm has grown to more than 300 professionals with core offices in the US, India, and UAE. We provide financial executives with expertise in financial accounting, operations, M&A, fundraising, risk management, and managed services. Our clients consist of multinational and Indian companies including large conglomerates, Fortune 500 companies, and public and pre-IPO companies. VOS is renowned for attracting top talent and delivering objective solutions to complex problems for the world's top growth companies.

Job Title:
Data Analyst

Location:
Gurugram Sector 54

Experience
: 5+ years

Job Type:
Full-time

Job Description

We are looking for a highly skilled Data Analyst with 5+ years of experience in reporting and visualization. The ideal candidate will have strong technical expertise in Advanced Excel and Power BI, with proven ability to deliver actionable insights. This role requires someone who is not only technically proficient but also confident in presenting data-driven insights to clients and senior management.

Key Responsibilities


• Develop, maintain, and optimize dashboards and reports for business insights.


• Work extensively on Advanced Excel and
Power BI.


• Extract and clean large datasets from multiple sources.


• Build and maintain reports and dashboards to support reporting and analytics.


• Collaborate with cross-functional teams to understand data requirements and deliver solutions.


• Ensure data accuracy, consistency, and integrity across all reports and dashboards.


• Present insights and recommendations to senior management in a clear, concise manner.

Requirements


• Bachelor's/master's degree in a related field.


• 5+ years of experience as a Data Analyst or similar role.


• Expertise in Advanced Excel.


• Strong proficiency in Power BI.


• Experience in data extraction, cleaning, and transformation.


• Strong presentation and communication skills.

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