Consultant - People Analytics & Business Insights

Educational Requirements:

Postgraduate degree in Economics, Statistics, Data Analytics, Business Analytics, Psychology, or Management (MBA preferred).

Exceptional undergraduate students with strong quantitative and analytical backgrounds are also encouraged to apply.

Job Opportunity:

Location:

Quadrangle Consulting is a boutique consulting firm that integrates data, psychology, and strategy to help organizations make smarter people and customer decisions. We partner with 200+ clients across industries such as pharma, financial services, FMCG, manufacturing, IT, and Indian conglomerates, helping them improve how they engage, retain, and manage talent and customers. We’re looking for analytical minds with strong quantitative and problem-solving skills to join us. The role is ideal for those who enjoy working with numbers, uncovering patterns, and translating insights into business impact.

Key Responsibilities:

• Work with client teams to design, analyze, and implement data-driven talent and customer solutions

• Conduct advanced statistical and quantitative analyses (e.g., regression, correlation, factor analysis, clustering) to uncover trends and insights

• Build and interpret dashboards, scorecards, and predictive models to drive decision-making

• Develop ROI models and business impact assessments for people and customer initiatives

• Translate analytical findings into actionable recommendations and client presentations

• Manage client interactions and synthesize business problems into data-backed strategies

What You Will Get Exposure To:

• Application of analytics, behavioral science, and economics in business consulting

• Multi-industry exposure across talent, customer, and organizational effectiveness projects

• Hands-on experience with data visualization and statistical modeling

• Client engagement and end-to-end project delivery ownership

• Exposure to strategic thinking at the intersection of psychology and analytics

What We’re Looking For:

• Strong quantitative, analytical, and problem-solving skills

• Proficiency in Excel, PowerPoint, and analytical tools such as SPSS, R, Python, Power BI, or Tableau

• Excellent written and verbal communication skills for data storytelling and client presentations

• Ability to manage projects independently and structure ambiguous problems

• Detail-oriented, adaptable, and intellectually curious mindset