Data Analyst

• Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
• Apply statistical techniques (correlation analysis, regression, hypothesis testing, etc.)

• Work with large datasets to identify relationships and meaningful variable interactions.
• Conduct time-series analysis including forecasting, trend decomposition, and

• Build intuitive visualizations and dashboards to communicate insights effectively.
• Present findings through strong storytelling, making complex insights easy to

• Collaborate with cross-functional teams to support decision-making and strategic

• Ensure data quality, documentation, and reproducible analysis workflows.

Requirements

• Bachelor’s or Master’s degree in Statistics / Data Science (mandatory).
• 4+ years of experience in data analysis or a similar role.
• Strong statistical and analytical skills with experience handling large datasets.
• Proficiency in Python for data analysis.
• Good understanding of time-series analysis and forecasting techniques will be an

• Excellent communication and storytelling ability.

Benefits

• Competitive salary and benefits.
• Opportunities for high-speed professional growth and development.
• Collaborative and supportive work environment.
• Medical insurance
• OP Allowance
• Statutory Benefits like PF, ESI, LWF, Gratuity
• Training (Technical & Soft skills)