Data Analyst

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions.

The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic value.

• Job Title: Data Analyst
• Location: Bangalore, Gurugram
• Experience: 6 To 12 Years
• Job Type: Contract to hire.
• Notice Period: Immediate joiners.
• Mandatory Skills: Tech Skill – strong SQL , Intermediate -Power BI and Basic – Python

Job description:

Must Have : SQL + PowerBI

· Tech Skill – strong SQL , Intermediate -Power BI and Basic – Python

· 6+ years of experience in data analysis or a similar role.

· Proficiency in SQL and data visualization tools ( Power BI).

· Experience with statistical analysis and tools such as Python (Basics).

· Strong analytical and problem-solving skills.

· Excellent communication and presentation skills.

· Ability to work independently and collaboratively in a fast-paced environment

· Analyze large datasets to identify trends, patterns, and insights.

· Develop and maintain dashboards and reports using tools like Power BI

· Collaborate with business stakeholders to understand data needs and deliver actionable insights.

· Perform ad-hoc analysis to support business initiatives and decision-making.

· Monitor key performance indicators (KPIs) and provide regular updates to leadership.

· Ensure data governance and compliance with data privacy regulations.