Data Analyst
@ Infosys

Trivandrum, Kerala, India
$100,000
On Site
Full Time
Posted 8 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @infosys.com
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Job Details

Data Analyst at Infosys

Infosys is seeking a Data Analyst with 5+ years of experience. The role requires a proven track record in collecting, cleaning, analyzing, and interpreting large datasets.

Key Responsibilities

  • Collect, clean, and organize large datasets from various sources.
  • Design and validate data pipelines.
  • Perform data analysis using statistical methods, machine learning techniques, and data visualization tools.
  • Identify patterns, trends, and anomalies within datasets.
  • Develop and maintain data models representing business operations.
  • Create interactive dashboards and reports to communicate insights.
  • Document analysis procedures for effective knowledge transfer.

Required Skills and Competencies

  • A high degree of initiative and flexibility
  • High customer orientation and quality awareness
  • Excellent verbal and written communication skills
  • Logical thinking and problem solving
  • Industry domain knowledge and understanding of financial processes
  • Client interfacing and project/team management skills
  • Familiarity with SDLC and agile methodologies

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Pipeline Design
  • Machine Learning
  • Data Visualization
  • Statistical Methods
  • Data Modeling
  • Dashboard Creation
  • Agile
  • Client Engagement
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How to Get Hired at Infosys

🎯 Tips for Getting Hired

  • Research Infosys culture: Understand company values and recent projects.
  • Customize your resume: Highlight data analytics achievements.
  • Prepare case studies: Demonstrate your data handling process.
  • Practice technical interviews: Sharpen your data analysis skills.

📝 Interview Preparation Advice

Technical Preparation

Review statistical analysis fundamentals.
Practice machine learning algorithms.
Build sample data pipelines.
Improve data visualization tool skills.

Behavioral Questions

Describe a challenging data project.
Explain your teamwork approach.
Share problem-solving experience.
Discuss client communication scenarios.

Frequently Asked Questions