Submitting more applications increases your chances of landing a job.

Here’s how busy the average job seeker was last month:

Opportunities viewed

Applications submitted

Keep exploring and applying to maximize your chances!

Looking for employers with a proven track record of hiring women?

Click here to explore opportunities now!
We Value Your Feedback

You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for

Would You Be Likely to Participate?

If selected, we will contact you via email with further instructions and details about your participation.

You will receive a $7 payout for answering the survey.


User unblocked successfully
https://bayt.page.link/zfb7G4VMx6kAZfht8
Back to the job results
Other Business Support Services
Create a job alert for similar positions
Job alert turned off. You won’t receive updates for this search anymore.

Job description

Company Description

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.



Job Description

Responsibilities:


  • Contribution to the development and implementation of agreed research methodology for crop estimation, export /Imports and demand of Made ups of textile industry.
  •  Regularly updating and maintaining databases / time series data and contribution to the development of the research methodology and strategy and continuously bring improvisation besides following the regular methodology
  • Creating automation tools using macros, power pivot in MS Excel Power BI and Python coding, which can help in making the task of updating data, swift and efficient.
  • To be able to calculate demand /consumption of agri commodities.
  • To keep a tab on market and track latest developments in trade that influence and can affect the company’s business.
  • Work with Commodity Platform and Research on Data Science & Analytics projects for Pakistan
  • Assist in managing Pakistan Commodity Balance Sheet, and keeping trade strategy aligned with BS
  • Conduct Real time Market Analysis - Awareness of current values trading and Relative competitiveness of various origins
  • Supply & Demand Analysis – Keep abreast of latest trends in production, consumption, export and imports, including weather developments and its impact on production as well as impact on balance sheet.
  • Continuous review of the methodology being applied in view of observations made during crop tours.
  • Conduct crop tours across different regions of Pakistan.
  • Collection and evaluation of primary and secondary data and performing sanity check on databases and external sources to ensure consistency of data.
  • Estimate cotton areas by collecting data from official sources regularly Confirmation of area estimates through visual estimation of area changes Farmer interviews
  • Gathering of information from third parties like research institutes, Seed industry, Agri departments etc.
  • Highlight the risks to the crop estimate by working out various scenarios. Assessment of the impact of various scenarios on yields and associated probabilities such as weather, pests, diseases and changing costs or supply of inputs or labor etc
  • Close monitoring of weather developments and long term forecasts to update production estimates.
  • Analyze trends, evaluate behaviors etc. and make appropriate conclusions.
  • Conducting detailed cost of production & Gross margins studies.
  • Communication of the findings in the form of well-argued crop tour report. 

Qualifications
  • Bachelors in Agronomy/ Maths & Economics/ Statistics
  • 2 to 3 years’ experience with the right skill sets.
  • Agri Commodities experience (Preferable)

Additional Information
  • Strong data Analytical & Problem-solving skills of big data sets.
  • Working knowledge in Advance Excel & Power BI (Must have)
  • SQL and basis knowledge of Python (coding, to be able to correct errors while running python report. (Preference)  
  • Business proficiency in English and Good communication in Urdu
  • Good communication in Punjabi & Sindhi preferred

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.


Sustainability

Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us


What We Offer


We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.


We offer


  • A workplace culture that embraces diversity and inclusivity
  • Access to  Training and Development
  • Competitive Salary and Benefits
  • Regular events that foster team engagement


This job post has been translated by AI and may contain minor differences or errors.

You’ve reached the maximum limit of 15 job alerts. To create a new alert, please delete an existing one first.
Job alert created for this search. You’ll receive updates when new jobs match.
Are you sure you want to unapply?

You'll no longer be considered for this role and your application will be removed from the employer's inbox.