Skip to content

Open nowPosted 31 days ago

Data Analyst - Agriculture Sector

Workable (global search)107,990 open roles

Where
Bahariya Oasis, Al Wahat Al Baharia, Egypt
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Analyst - Agriculture SectorWorkable (global search) · Bahariya Oasis, Al Wahat Al Baharia, Egypt
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 31 days ago

Workable (global search) median: 6 days open

The posting

Position Summary:

  • Linah is looking for a detail-oriented Data Analyst to turn raw agricultural field data into clear, actionable insight. The data analyst will be the bridge between what happens on client farms and the decisions made by both clients and Linah's technical support department — processing field metrics, building performance reports, flagging risks early, and quantifying the return on investment (ROI) of Linah's interventions.

Job Duties & Responsibilities:

  • Build and maintain the "Historical Farm Profile" database, ensuring all data from field engineers and lab results are accurately and consistently recorded
  • Collect, clean, and validate agricultural data gathered from client farms (yield, soil health, irrigation, inputs usage, weather, crop cycles, etc.)
  • Process and structure raw field data into usable datasets for analysis
  • Calculate cost vs. yield metrics, tracking how Linah's interventions impact the client's bottom line
  • Calculate and track the broader ROI of Linah's interventions (e.g., input recommendations, technology adoption, training programs) against baseline performance
  • Prepare the data that feeds into the Client Digital Dashboard, including implementation rates and technical program progress
  • Build dashboards and visualizations that clearly communicate farm performance trends over time
  • Analyze trends across different regions to provide the R&D and Technical teams with early warnings about pest outbreaks or climate impacts
  • Design and generate the standardized, logic-based technical reports delivered to clients
  • Prepare regular performance reports for clients and internal management, translating technical data into plain-language insights
  • Collaborate with field agronomists/engineers to ensure data collected is accurate, complete, and relevant
  • Maintain data quality standards and documentation for all datasets, databases, and reporting processes
  • Support management with ad hoc data requests and predictive analysis for planning and forecasting
  • Continuously improve reporting templates, dashboards, and analytical methods based on client and management feedback

Requirements

  • Bachelor's degree in Data Science, Statistics, Agricultural Economics, Agronomy, Computer Science, or a related field
  • 3+ years of experience in data analysis, ideally within agriculture, agtech, or FMCG, or supply chain sectors
  • Strong proficiency in Excel and at least one analytics/BI tool (e.g., Power BI, Tableau, Looker)
  • Working knowledge of SQL for data querying, database maintenance, and manipulation
  • Experience with Python or R for data processing/analysis is a plus
  • Ability to build clear, digestible dashboards and reports for both technical teams and non-technical audiences
  • Strong understanding of basic agricultural concepts (crop cycles, yield metrics, farm inputs) or willingness to learn quickly
  • Excellent analytical thinking and attention to detail
  • Strong communication skills — able to translate numbers into a story for clients and management

Benefits

  • Job location: Baharia Oasis
  • Medical insurance
  • Social insurance
  • Bonus upon company policy
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.