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Position: Colleague Experience Survey AnalystLocation: ChennaiExperience Level: 5+ yearsEmployment Type: Full-timeShift Time: 10:00 AM to 6:00 PM IST (Flexibility required for key afternoon meetings)Mode of Work: Hybrid (Mondays, Tuesday, Wednesdays and Friday)About the Role:We are seeking a Colleague Experience Survey Analyst to help drive meaningful insights and continuous improvements across the employee lifecycle. This role blends data analysis, survey design, and a strong understanding of digital HR transformations to shape an exceptional colleague experience.Key Responsibilities:- Conduct advanced data analysis including inferential statistics, correlations, and regression to identify patterns in employee feedback. - Lead survey research end-to-end—from questionnaire design to statistical analysis and reporting. - Develop and maintain forecasting models, conduct benefits tracking, and support the continuous evolution of change management methodologies. - Contribute to digital HR transformation projects, particularly involving SaaS platforms. - Collaborate with agile teams and stakeholders to deliver data-backed insights that improve employee engagement and workplace culture.Key Skills & Experience:- Strong command of analytical and statistical techniques (e.g., inferential stats, regression analysis). - Experience with survey programming platforms such as Glint, PeakOn, or Qualtrics. - Proficiency in SQL, Python, or other database querying tools. - High-level planning and resource alignment capabilities. - Familiarity with technology change, particularly in SaaS environments. - Exceptional problem-solving, presentation, and stakeholder communication skills. - Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).Additional Skills (Preferred):- Experience in benefits realization tracking and strategic forecasting. - Proven ability to work independently and in collaborative agile teams. - A passion for employee experience and a proactive, insight-driven approach.Qualifications:- Must Have: Bachelor’s degree in any discipline - Preferred: Master’s degreeAssessment Areas:Candidates may be assessed on the following:- Change and transformation - Risk and Controls - Strategic Thinking - Digital and Technology Orientation - Technical and Analytical Capabilities