What We Offer

• Transportation allowance
• Canteen Subsidy
• Campaign Allowance
• Health Insurance
• Tuition Reimbursement
• Incentive components campaign wise
• Work Life Balance Initiatives
• Rewards & Recognition

What You’ll Be Doing

• Contribute to the entire web lifecycle
• Develop functional and fast-responsive web applications, using markup languages
• Troubleshoot apps for bugs and fix bugs if necessary and improve the usability
• Troubleshoot UI and improve its performance accordingly
• Employ the latest technology in order to re-built legacy apps
• You’ll work with Senior Analysts, Managers and/or Senior Managers to uncover actionable and commercially focused insights. Each of your projects will also have a Partner who will help provide new perspectives and direction for your project team.
• You’ll analyze operational, customer, and financial data, alongside some of the world’s largest customer feedback datasets, to advise clients on best practices for driving customer-centricity from the boardroom to the front lines, resulting in improved customer experience and increases in customer loyalty.
• You’ll pull and integrate data from disparate sources, writing code to clean the data in preparation for modelling.
• You’ll build models using linear regression, logistic regression, cluster analysis, etc. to answer targeted business questions.
• You’ll use both structured (regression) and unstructured (text analytics) analysis to help articulate business and program recommendations
• Help the team prepare customer facing deliverables (slide decks) that convey the results and applicability of your analysis

What We Expect You To Have

• BA/BS Degree/ MA/MS Degree (continued straight from Undergraduate)
• Hands on experience working on R, Python and Regression (Preferred Multiple regression)
• Flexible working in US shift
• Demonstrated expertise with regression-based data analysis and quantitative research methodologies
• Knowledge of statistical software packages (e.g., R)
• Excellent problem solving and analytical skills
• Excellent project management and communication skills (written and in slides). Ability to formulate hypotheses, search for patterns, and find the story in the data
• Quick learner/creative thinker/self-starter
• Passion for problem resolution