Senior Data Analyst

12 hours ago

Hyderabad, India People Prime Worldwide Full time

Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida.

Job Title: Data Analyst

· Location: Bangalore(Hybrid)

· Experience: 8+ yrs

· Job Type : Contract to hire.

· Notice Period:- Immediate joiners.

Mandatory Skills:

Job Title: Data Analyst

Job Summary:

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help inform business decisions. You will work closely with various departments to identify trends, generate reports, and present findings in a clear and actionable manner.

Key Responsibilities:

- Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and insights.
- Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.
- Work with stakeholders to define key performance indicators (KPIs) and provide actionable insights.
- Develop and maintain data models and databases for efficient data storage and retrieval.
- Conduct exploratory data analysis and statistical modeling to support business strategies.
- Present findings to both technical and non-technical audiences through written reports and visual storytelling.
- Collaborate with IT, product, marketing, finance, and operations teams to support data-driven decision-making.

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