Capgemini | Data Analyst – Transform Data into Business Insights

Job Overview:
We are seeking a skilled Data Analyst to join our team and play a pivotal role in transforming raw data into meaningful business insights. The ideal candidate will be responsible for importing, inspecting, cleaning, transforming, validating, modeling, and interpreting complex data sets to align with the company’s strategic goals.

Job Description :-

Company Name:	Capgemini
Job Role:	Data Analyst
Experience:	Freshers/Experienced
Location:	Bangalore/Mumbai, India
CTC/Salary:	INR 5.4-11 LPA (Expected)

Key Responsibilities:

• Collect, process, and analyze large volumes of data from multiple internal and external sources.
• Cleanse and validate data to ensure consistency, accuracy, and reliability.
• Apply statistical techniques and data modeling methods to uncover trends and patterns.
• Build and maintain interactive dashboards, visualizations, charts, and reports to communicate findings clearly.
• Use appropriate data tools, technologies, and algorithms based on business needs and data complexity.
• Collaborate with business stakeholders to understand objectives and deliver actionable insights.
• Ensure data integrity and oversee the maintenance of data repositories and reporting systems.
• Translate analytical outcomes into strategic recommendations to drive informed business decisions.

Role Specific Responsibilities:

In this role, you will:

• Combine technical data analysis skills with consultative capabilities to support business stakeholders.
• Play a critical role in decision-making processes, supporting initiatives across business functions.
• Provide timely and accurate insights that enhance business performance and growth strategies.
• Deliver value by aligning data insights with the organization’s operational and strategic goals.

Required Skills & Qualifications:

• Proven experience as a Data Analyst or in a similar analytical role
• Proficient in SQL, Excel, and data visualization tools like Tableau, Power BI, or similar
• Strong understanding of data cleaning, validation, and statistical analysis techniques
• Ability to communicate complex data findings in a clear and compelling way to both technical and non-technical audiences
• Strong problem-solving skills and attention to detail
• Experience with data modeling, trend analysis, and performance tracking.

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