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Associate - Analytic Insights

Caspar TechnologiesIndia• India21h ago
remotefull-timeentry
103 views0 applicants
đź’Ľ Competitive Salary

Job Description

Type: Full-Time Location : India (Remote) Function: Analytics & Data Science Salary: Competitive About the Role 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 Foundational understanding of: Linear regression Statistical concepts Hypothesis testing Exploratory data analysis Tools & Technologies Working knowledge of: Python R SQL Excel Exposure to: Power BI Tableau Experience handling structured datasets 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 Caspar Technologies? 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 Send your updated resume and GitHub/portfolio link to success@caspardigital.com with the subject line: "Application for Associate – Analytic Insights - [Your Name]" If you're excited about working with modern tech stacks and challenging projects, we’d love to hear from you!

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 Caspar Technologies?
  • 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

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

About Caspar Technologies

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