Associate-Analytic Insights
Job Overview:
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.
Key Responsibilities
Analytics & Model Development
- 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
Data Preparation & Analysis
- Perform data cleaning, transformation, and exploratory data analysis
- Analyze datasets to identify trends, patterns, and insights
- Support the preparation of datasets for modeling and reporting purposes
- Ensure data accuracy and consistency across analytical outputs
Visualization & Communication
- 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
Collaboration & Project Support
- Work collaboratively with senior analysts, data scientists, and business teams
- Support project execution and delivery within defined timelines
- Contribute to knowledge sharing and analytical best practices
Qualifications
Education & Experience
- Master’s degree in:
Statistics
Econometrics
Data Science
Mathematics
Economics Or related quantitative fields
- 0–2 years of experience in:
Data analysis
Statistical modeling
Internships
Academic projects
Entry-level analytical roles- Strong academic background in statistical concepts and quantitative analysis
Technical Skills
Statistical & Analytical Knowledge
- MFoundational understanding of:
Linear regression
Statistical concepts
Hypothesis testing
Exploratory data analysis
Tools & Technologies
- Working knowledge of:
- Python
SQL
Excel
- Exposure to:
- Power BI
Tableau
Experience handling structured datasets
- Python
Tools & Technologies
- Working knowledge of:
- Python
SQL
Excel
- Exposure to:
- Power BI
Tableau
Experience handling structured datasets
- Python
Business & Soft Skills
- Strong analytical and problem-solving abilities
- Understanding of how analytics supports business decisions
- Strong written and verbal communication skills
- Ability to quickly learn new concepts and technologies
- Team-oriented mindset with strong collaboration skills
- Attention to detail and ability to manage multiple priorities
Preferred Qualifications
- Internship or academic experience in:
Predictive modeling
Regression analysis
- Exposure to:
Marketing analytics
Forecasting techniques
Business analytics use cases
- Familiarity with:
Data storytelling
Presentation of analytical insights
Work Schedule & Collaboration
- 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
What You Will Learn & Gain
- Hands-on experience in building and validating statistical models
- Exposure to real-world business applications of analytics
- Opportunities to develop end-to-end analytical problem-solving skills
- Mentorship from experienced analytics and data science professionals
- International exposure through global collaboration and client engagement
Why Join Us?
- Work on impactful analytics initiatives with global exposure
- Collaborate with talented professionals across functions and regions
- Gain practical experience with real business datasets and challenges
- Accelerate your learning and career growth in analytics and data science
- Be part of an innovative and collaborative work environment
How to Apply
Interested? Send your resume or a short intro with links to your LinkedIn profile to hr@cmercury.com. with the subject line: "Application for Full Stack Developer - [Your Name]" If you're excited about working with modern tech stacks and challenging projects, we’d love to hear from you!
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