Food Science Data Analyst

Job Description

Job Description

Food Science Data Analyst

My name is Bill Stevens, and I have a new twelve-month Food Science Data Analyst opportunity for a major firm located in Franklin, Tennessee that could be of interest to you, please review my specification below. The work week schedule will be hybrid, three days a week in the office and two days remote.

The ideal candidate should also possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals.

This position pays $30.00 per hour on a w-2 hourly basis.

Key Responsibilities:

Provide day-to-day functional support to key users and end users (triage questions, capture issues, and support resolution with digital/technical partners) Build and maintain user-focused knowledge articles, FAQs and guidance to improve self-service and reduce repeat issues

Requirements, testing & continuous improvement:

Support discovery workshops by capturing user needs, pain points and process steps; help translate them into clear functional requirements and user stories Support testing (test script creation, data set preparation, defect logging, retest) and contribute to user acceptance testing and end-to-end scenario validation Analyze incident and feedback trends to propose practical improvements to process, data, training or system configuration

Training, deployment & hyper care support:

Support training design and delivery (materials, demos, job aids) for key user and end user communities, with coaching from senior team members Support deployment activities and hyper care (floor-walking/virtual support, rapid issue triage, communications) to ensure a smooth go-live experience

Education & Professional Qualifications:

Bachelor’s degree (or equivalent) in Food Science, Food Technology, Chemistry, Biology, Nutrition or a related scientific discipline (preferred) Graduate or 1–2 years’ relevant experience (e.g., R&D, Quality, Supply, laboratory, technical, data/analytics or business support roles) Interest in digital systems and data; prior experience with R&D/Quality/PLM systems is a plus but not required (training will be provided)

Knowledge / Experience:

Good understanding of food R&D processes including innovation, food safety etc.

Excellent networker easily builds rapport remotely Exceptional English communication skills (oral and written).

Good understanding of using computer systems to do your work. Basic use of AI chat services to support your learning would be useful.

While this role will be to support IT systems and our business process, our focus is on Food Science knowledge.

The interview process will include an initial phone or virtual interview screening.

Please let me know your interest in this position, availability to interview and start for this position along with a copy of your recent resume.