Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 4 hours agoWe saw it 81 min after it went up

Senior Data Analyst – Controlled Environments

Syngenta Group512 open roles

Where
Nampa, Idaho, United States
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowSenior Data Analyst – Controlled EnvironmentsSyngenta Group · Nampa, Idaho, United States

  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 Syngenta Group'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.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Syngenta Group postings stay open a median of 14 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 4 hours ago

Syngenta Group median: 14 days open

The posting

Company Description

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices

Job Description

The Data Analyst enables reliable, data-driven decisions across the Trait Introgression (TI) and Double Haploid (DH) pipelines at the Trait Conversion Accelerator (TCA) in Nampa, Idaho. The role core responsibility is to transform operational, phenotypic, genotypic, and inventory data into trusted insights that strengthen operational excellence, productivity, traceability, and delivery.

The Data Analyst defines and governs data architecture; integrates diverse data sources into scalable analytical workflows; and develops reporting tools that support planning, project prioritization, workload and budget management, resource allocation, and continuous improvement. Combining programming and analytical expertise with a strong understanding of crop biological systems, this role converts complex data into clear performance indicators and actionable recommendations for Field Crops controlled-environment operations.

Accountabilities:

  • Data architecture and operational data products: Design, develop, and maintain trusted datasets, scalable dashboards, and recurring reports supporting DH and TI workflows-from project initiation through controlled-environment execution, genotyping, phenotyping, selection, advancement, and hand-off.
  • Performance management: Define, monitor, and report operational and business KPIs across DH and TI execution pipelines. Compare performance against plans, targets, and internal thresholds to identify improvement opportunities, strengthen execution, and maximize product success.
  • Workload planning and capacity monitoring: Analyse greenhouse footprint, capacity, occupancy, labor demand vs availability, planting schedules, cycle duration, environmental conditions, and seasonal constraints. Track actual versus planned performance to identify risks within controlled-environment operations and external dependencies, such as genotyping. Integrate these data sources into decision-support tools that enable scenario modelling and “what-if” simulations to optimize operational execution and increase productivity.
  • Data quality and traceability: Establish robust data-quality standards, cross-check mechanisms, and automated controls to identify, prevent, and correct data collection, recording, transformation, or analytical errors. Ensure data integrity, consistency, and end-to-end traceability across digital workflows.
  • Controlled-environment and laboratory analytics: Analyse controlled-environment and laboratory data to identify performance trends, support structured root-cause analysis, and establish data-driven productivity targets based on available operational data. Translate findings into actionable improvement priorities and measurable performance expectations.
  • Data-driven decision support: Translate complex controlled-environment and operational data into concise, action-oriented insights and recommendations. Apply AI tools and applications to identify patterns, generate predictive insights, evaluate scenarios, and strengthen data-driven decision-making. Support optimization of footprint utilisation, resource allocation, project execution, risk mitigation, and digital safeguards that reduce product vulnerabilities.

Qualifications

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders.

  • M.S. or Ph.D. in Data Science, Data Engineering, Statistics, Data Science, Industrial Engineering, or related field.
  • Minimum 2 years of experience in data analytics, statistics, computational biology, or related field preferred.
  • Experience modelling biological systems and developing simulation and predictive algorithms, including AI-based, highly desired.
  • Experience in data manipulation, integration, analysis, and interpretation; graphic summary and reporting; dashboard development and management for visualization and communication.
  • Ability to translate complex analytical outputs into concise, action-driven recommendations.
  • Experience with Microsoft-based data tools or related analytics platforms.
  • Familiarity with data-collection devices and process improvement.

Additional Information

What We Offer:

  • A culture that celebrates belonging & collaboration, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
  • Full Benefit Package (Medical, Dental & Vision) that starts your first day.
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
  • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal.

Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Use of AI in Our Recruitment Process

At Syngenta, we use artificial intelligence (AI) to screen applications for high-volume roles.

When you submit an application, AI technology assesses your profile against the job requirements and generates a matching score. This score reflects how closely your qualifications, skills, and experience align with the role's criteria as defined in the job description.

WL4B

#LI-Onsite

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 Syngenta Group'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 Syngenta Group'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

    Syngenta Group'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.

Get the CV for this 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.