Product and Data Analyst

FMG Global; Chicago (IL); On-site; USD 99,000 - 121,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Flexible spending account

Health insurance

Health savings account

Paid time off

Vision insurance

Job summary

FMG Global is seeking a Product and Data Analyst to connect quality and supply chain needs with technology delivery by leading requirements and process analysis, while profiling transaction-level protein raw material quality data to support data product execution.

You will elicit requirements from quality, supply chain, supplier management, and analytics stakeholders, maintain the backlog with the Data Product Director, and map current processes to future workflows with a focus on data

Qualifications

• 6–8 years in business analysis, data analysis, and product ownership.
• Experience eliciting requirements, mapping processes, and writing data/story requirements.
• Strong SQL, advanced Excel, data profiling and reconciliation of large datasets.
• Preference for supply chain, agrifoods, food manufacturing, or protein processing.

Responsibilities

• Elicit and document requirements from stakeholders; write user stories and acceptance criteria.
• Own/backlog grooming with Data Product Director for the quality data domain; define ready/done.
• Map current-state to-be processes; emphasize event and data-submission workflows.
• Analyze quality data end-to-end across receipts, inspections, NCRs, and stats.
• Standardize quality metrics and reporting across suppliers, items, markets.
• Validate and stress-test the Supplier Risk Score and calculations.
• Profile data quality KPIs; flag integrity risks like fan-out/double-counting.
• Contribute to data dictionary, data models, and governance objects.
• Collaborate with analytics to define semantic metrics and validate dashboards.

Skills

SQL

Advanced Excel

Stakeholder comms

Product ownership

Process mapping

Education

Bachelor's degree

Tools

Power BI

Tableau

GoodData

BPMN

Job description

The Product and Data Analyst at FMG Global connects quality and supply chain needs with technology delivery by leading requirements and process analysis, while profiling transaction-level protein raw material quality data to support data product execution.

Key Responsibilities

• Elicit and document requirements from quality, supply chain, supplier management, and analytics stakeholders, then produce clear user stories, acceptance criteria, and non-functional requirements.
• Own and groom the backlog with the Data Product Director for the quality data domain, including slicing epics into deliverable stories and maintaining a clear definition of ready and done.
• Map current-state quality processes to designed to-be processes, with emphasis on event and data-submission workflows.
• Analyze protein raw material quality data end to end across receipts, inspections, microbiological results, NCR events, and monthly statistics to validate definitions and identify insights.
• Standardize quality metrics and calculations to enable consistent reporting across suppliers, vendors, items, and markets.
• Validate and stress-test the current and future-state Supplier Risk Score, including incident-rate calculations that underpin the scoring approach.
• Profile incoming data, monitor data-quality KPIs, and flag integrity risks such as fan-out and double-counting.
• Contribute to the data dictionary, reference/master/transaction data model, and governance objects used to drive scoring.
• Partner with the analytics team to define semantic layer metrics and validate dashboards and supplier scorecards.

Required Qualifications

• 6 to 8 years of combined experience across business analysis, data analysis, and product ownership.
• Advanced understanding of product concepts such as backlog grooming, feature creation, ceremonies, user flows, roadmapping, and release planning.
• Proven experience eliciting requirements, mapping processes, and writing user stories for data or platform initiatives.
• Strong hands-on data analysis skills, including SQL, advanced Excel, and confident profiling and reconciliation of large transactional and quality datasets.
• Strong preference for experience in supply chain, agrifoods, food manufacturing, or protein/meat processing.
• Familiarity with quality and food-safety concepts such as NCR/CAPA, AQL inspection, microbiological testing, and foreign-object classification.
• Exposure to master/reference/transaction data modeling, data dictionaries, and data governance practices.
• Experience with BI/analytics tools including GoodData, Power BI, and Tableau, along with cloud data platforms; BPMN or workflow modeling is a plus.
• Excellent written documentation and stakeholder communication skills.
• Bachelor’s degree in a relevant field or equivalent experience.

Technologies

• SQL
• Excel
• GoodData
• Power BI
• Tableau
• Cloud data platforms
• BPMN

Experience Requirements

• Tech Product Management: 3 years (required)
• Data Solutions: 3 years (required)

Location and Work Model

Chicago, IL (onsite, in person).

Compensation

From $110,000.00 per year.

Benefits

• 401(k)
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Paid time off
• Vision insurance