Associate - Analytic Insights

Icubespro; Ernakulam; On-site; INR 500,000 - 700,000; Full time

Job summary

Caspar Technologies Pvt Ltd is seeking an Associate - Analytic Insights to join our Analytics Data Science team. This is an excellent opportunity for individuals with a strong analytical foundation to build hands-on experience in statistical modeling, data analysis, and deriving insights for a US-based client.

The role involves collaboration with a global team across diverse business functions and exposure to real-world business challenges in a fast-paced environment.

Qualifications

• Strong academic grounding in statistics and quantitative analysis.
• Experience with data interpretation and statistical modeling is a plus.
• Ability to translate analytical outputs into business insights.
• Experience with internships or academic projects in analytics is welcome.

Responsibilities

• Support regression-based modeling to analyze drivers and outcomes.
• Build analytical frameworks for data-driven decisions.
• Participate in model validation and diagnostics for relevance.
• Communicate findings via visualizations, dashboards, and reports.
• Present insights clearly to technical and non-technical stakeholders.

Skills

Statistical analysis

Linear regression

Hypothesis testing

Exploratory data analysis

Education

Master's in Statistics

Master's in Econometrics

Master's in Data Science

Master's in Mathematics

Master's in Economics or related field

Job description

Job Summary

Caspar Technologies Pvt Ltd is seeking a highly motivated and analytical Associate - Analytic Insights to join our Analytics Data Science team. This is an excellent opportunity for early-career professionals who are passionate about analytics, data interpretation, and business problem-solving. The role is designed for individuals with a strong analytical foundation who are eager to build hands-on experience in statistical modeling, data analysis, and insight generation. This position provides an exciting opportunity to work with a US-based multinational client and collaborate with a global team across diverse business functions, offering exposure to international projects, cross-functional collaboration, and real-world business challenges in a fast-paced, innovation-driven environment.

Responsibilities

• Support the development of regression-based models to analyze relationships between business drivers and outcomes such as pricing, promotions, customer behavior, and media impact
• Assist in building analytical frameworks that support data-driven business decisions
• Participate in model validation and diagnostic activities to ensure statistical and business relevance
• Identify and help resolve modeling challenges including variable selection and multicollinearity issues
• Create visualizations, dashboards, and reports to communicate analytical findings
• Translate complex analytical outputs into meaningful business insights and summaries
• Present findings in a clear and concise manner to both technical and non-technical stakeholders

Qualifications / Education and Experience

• Master's degree in Statistics
• Master's degree in Econometrics
• Master's degree in Data Science
• Master's degree in Mathematics
• Master's degree in Economics or related quantitative fields
• 0-2 years of experience in Data analysis
• 0-2 years of experience in Statistical modeling
• 0-2 years of experience in Internships
• 0-2 years of experience in Academic projects
• 0-2 years of experience in Entry-level analytical roles
• Strong academic background in statistical concepts and quantitative analysis

Technical Skills

• Statistical Analytical Knowledge
• Foundational understanding of: Linear regression
• Statistical concepts
• Hypothesis testing
• Exploratory data analysis

Work Schedule

• Opportunity to work with a US-based multinational client
• Opportunity to collaborate with a global team
• Candidates should be comfortable working in the US time zone
• Typical work schedule begins from 12:30 PM IST onwards, depending on project and client requirements

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.