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Market Intelligence & Commodity Analyst

Market Intelligence & Commodity Analyst

NiruthiDelhi, India
1 day ago
Job description

Job Title : Market Intelligence & Commodity Analyst (Field + Data Role)

Experience : 4–5 Years

Location : Hyderabad, TS (with field travel as needed)

Job Type : Full-Time

Job Summary :

We are looking for a Market Intelligence & Commodity Analyst who can connect field realities with data-driven analysis. The role involves gathering on-ground information from mandis, processors, and farmer networks while integrating it with analytical models and dashboards.

Key Responsibilities :

  • Conduct field surveys for acreage and yield validation, farmer interviews, and seed firm assessments.
  • Gather market intelligence on mandi arrivals, APMC prices, CIF / FOB trends, and logistics costs.
  • Track price spreads, trade margins, and inter-market movements.
  • Support demand and supply modeling by coordinating with the Data Science & Forecasting Cell.
  • Prepare concise reports and presentations for clients and management.
  • Monitor policy, trade, and global commodity developments impacting India’s Agri value chain.

Required Skills & Experience :

  • Proven experience in market intelligence, procurement, or commodity tracking.
  • Strong analytical skills with comfort in handling data sets (Excel / Sheets / Power BI).
  • Excellent communication and stakeholder management skills.
  • Ability to balance field data collection with quantitative analysis.
  • Familiarity with Python, GIS, or data visualization tools is an advantage.
  • Qualification :

  • BSc (Agriculture) / BTech in Agriculture Engineering / MBA in Agri-Business, Economics with prior experience in Commodity Markets.
  • 4–5 years of experience in market intelligence, commodity analytics, or supply-chain consulting.
  • Company Description

    Founded by Dr. Ramakrishna Nemani, a retired NASA scientist with over thirty-five years of experience, Niruthi utilizes a cutting-edge data-model assimilation approach. This approach integrates satellite, weather station, and mobile data into sophisticated simulation models powered by Big Data and Artificial Intelligence. These models provide nowcasts and forecasts for custom solutions in areas such as Crop Insurance, Crop Yield Estimation, Irrigation Management, Carbon Credits, Pest / Disease Dynamics, Disaster Management, and Public Health.

    What We Offer :

  • Competitive salary and benefits package.
  • Opportunity to work on exciting AI-driven projects that make an impact.
  • Continuous learning and professional development support.
  • A dynamic, inclusive, and innovative work environment.
  • Work Culture at Niruthi

    At Niruthi, our inclusive and cooperative culture thrives on the diversity of our team members. We embrace our unique backgrounds, value and support each other's viewpoints, and foster an environment of learning, camaraderie, and growth. With our shared passion, unwavering dedication to our mission, and a mindset focused on growth and innovation, we are the change-makers of today and the pioneers of tomorrow.

    When you work at Niruthi, you will –

  • Strive to accomplish outstanding work each day
  • Challenge limits to be successful
  • Aim for continuous improvement
  • Avoid complacency and embrace risks
  • Envision the innovative methodologies
  • Drive progress on a global scale
  • Become a catalyst for change
  • Additionally :

  • We provide you with empowerment, trust in your abilities to deliver, and facilitate the realization of your ideas
  • We believe in nurturing from within rather than seeking external sources to elevate individuals
  • We strategize for mutual growth, nurturing your talents to unlock your full potential
  • We extend our care to you, your dear ones, and your overall physical and mental wellness
  • We celebrate triumphs and setbacks. We celebrate each small stride taken towards realizing our shared vision
  • Challenges and obstacles affect every individual. We foster collaboration to tackle these issues collectively
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