Data Analyst

Location : ,

Job Description

Role - Global / Data & Analytics consultant

Hybrid for 3 days onsite for Gurugram (locals of gurugram / delhi NCR who can commute whenever required)

There are high chances for face to face interview in the final round.

Skills -

Ideally we would be interested in candidates coming from an agricultural background.

  • Excellent business acumen and interpersonal skills: Able to work across business lines at a senior level to influence and effect change to achieve common goals. 
  • Communication and storytelling: Creating consistent value-oriented storylines for better understanding and execution of the D&A Strategy. Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment (e.g., conveying information to diverse audiences in a way that is easily understood and actionable).  
  • Influencing and emotional intelligence: For example, by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors. Ability to explain digital concepts and technologies to business leaders, and business concepts to technologists. Can “sell” ideas and processes internally at all levels, including the board and investors. 
  • Facilitation: Hosting sessions to elicit business use cases/ ideas from others, understand their issues and encourage group participation. 


  • Maintain accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the corporate leader of data-driven insights and use cases that help support and unlock strategic and tactical business opportunities. 
  • Build partnerships with leadership teams across the organization and establish a shared vision for managing data as a business asset — to exploit data and analytics capabilities to maximize the value derived from data assets.  
  • Expanding our capabilities beyond description analytics to predictive/prescriptive analytics leverage data science, machine learning & AI.  
  • Connect business strategy priorities to analytics use cases and roadmap, to ensure business outcomes are achieved 
  • Work with business teams on art of possible around AI and build a robust roadmap of data science use cases that delivers value  
  • Foster the creation of a data-driven culture, related competencies, and data literacy across the enterprise. Lead these transformation efforts by developing D&A talent and maturing the capability of the organization, especially in the space of AI. 
  • Establish and maintain trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications, and automated decision-making.