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
- Chance 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.

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