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Business Analyst (Food & Beverage)

• Posted 5 days ago • Updated 1 day ago

Full Time

On-site

USD 30.00 per hour

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Generative Artificial Intelligence (AI)
Semiconductors
Pharmaceuticals
Discrete Manufacturing
Asset Management
Workflow
User Stories
Software Design
Process Optimization
Use Cases
Collaboration
Acceptance Testing
Sales
Documentation
Industrial Engineering
Process Control
Data Science
Analytical Skill
Agile
JIRA
Confluence
Communication
Leadership
Machine Learning (ML)
Optimization
Customer Engagement
SIP
Adobe AIR
OEE
Hazard Analysis And Critical Control Points
Good Manufacturing Practice
Microbiology
Statistical Process Control
Programmable Logic Controller
SCADA
MES
LIMS
QMS
Enterprise Resource Planning
SAP PP/PI
Time Series
Sustainability
CMMS
Enterprise Asset Management
PSM
Energy
Recovery
Siemens
OSIsoft
Analytics
Wonderware
Business Intelligence
OPC
MQTT
Auditing
Regulatory Compliance
ISO 9000
Continuous Improvement
Lean Six Sigma
SMED
Total Productive Maintenance
TPM
Kaizen
Scheduling
Startups
Root Cause Analysis
Quality Assurance
Artificial Intelligence
SaaS
Retail
Finance
Manufacturing
Media
IT Service Management

Summary

{"description": "Introduction

Job Title:
Business Analyst - IndustrialAI (Food & Beverage Domain)

Department:
IndustrialAI / Product

Overview:
SymphonyAI is a global leader in AI-powered enterprise solutions, helping organizations unlock value from complex data and make smarter, faster decisions. Our IndustrialAI division focuses on accelerating autonomous plant operations by connecting people, assets, and processes using predictive and generative AI. We serve industries such as Oil & Gas, Energy, Semiconductor, Chemicals, Pharmaceuticals, Utilities, Mining & Metals, and both process and discrete manufacturing.

Our mission: build world-class products with real industrial impact.

As a Business Analyst at SymphonyAI Industrial, you will act as the critical bridge between customers, domain experts, product, and engineering teams. You will deeply understand industrial workflows, asset management practices, and operational challenges, and translate them into clear business requirements, functional specifications, and measurable outcomes. This role is ideal for someone who enjoys ambiguity, asks tough \"why\" questions, and can turn complex operational realities into structured, actionable insights.

Job Description

Responsibilities:

Partner with customers, domain experts, product managers, and engineering teams to understand industrial business problems and operational workflows.
Translate customer needs into clear business requirements, functional specifications, user stories, and acceptance criteria.
Support discovery and solution design for predictive maintenance, asset reliability, process optimization, and operational intelligence use cases.
Analyze operational, maintenance, and process data to identify trends, gaps, and improvement opportunities.
Act as the voice of the customer throughout the product and solution lifecycle.
Collaborate with data scientists to validate assumptions, interpret model outputs, and ensure business relevance of insights.
Support solution validation, UAT, and customer rollouts to ensure expected business outcomes are achieved.
Showcase the value of the model output and platform to customers, relating them to tangible business benefits.
Assist sales and pre-sales teams by providing domain and solution context during customer discussions, demos, and workshops.
Contribute to best practices, documentation, and repeatable frameworks for industrial analytics and AI solutions.

Required Skills & Qualifications:

Bachelor's or Master's degree in engineering, Industrial Engineering, Operations, Analytics, or related quantitative fields.
5+ years of experience as a Business Analyst, Functional Analyst, or similar role in industrial, manufacturing, energy, or asset-intensive environments.
Strong understanding of industrial operations, asset maintenance, reliability, or process control concepts.
Proven ability to gather, structure, and document complex business requirements; translate business/domain problems into data science problems.
Experience working with cross-functional technical teams including data scientists, software engineers, and product managers.
Ability to interpret analytical outputs and translate them into business insights and recommendations, and showcase value to the customer.
Familiarity with agile delivery models and tools (JIRA, Confluence, etc.).
Strong communication skills, comfortable engaging with both plant-floor stakeholders and senior leadership.
Experience working with operational data sources such as historians, CMMS, EAM, or ERP systems is a strong plus.
Exposure to AI/ML-driven analytics, predictive maintenance, or optimization solutions is highly desirable.
Willingness to travel as required for customer engagement.

Required F&B Domain Knowledge:

Production operations & unit ops: mixing/blending, pasteurization (HTST/UHT), fermentation, cooking/baking/frying, CIP/SIP, aseptic processing; utilities (steam, refrigeration/ammonia, compressed air), water/wastewater.
Packaging & lines: fillers/cappers/labelers, conveyors, checkweighers/vision/metal/X-ray, carbonation/CO2, changeovers/SMED, giveaway control, yield/weight control, OEE/downtime/loss analysis.
Quality & food safety: HACCP/HARPC, FSMA cGMP, GFSI (BRCGS/SQF), allergen control, sanitation/hygienic design (3-A/EHEDG), microbiology & shelf-life, SPC, traceability/lot genealogy, cold chain.
Automation & data: PLC/SCADA/MES (ISA-95/ISA-88), historians (OSIsoft PI, Aveva/Wonderware), LIMS/QMS, ERP (e.g., SAP PP-PI), GS1/EPCIS barcoding; handling time-series, batch/contextual data.
Reliability & sustainability: rotating equipment monitoring, CMMS/EAM, predictive maintenance, ammonia refrigeration (IIAR/PSM), energy/water intensity, heat recovery, environmental compliance.

Preferred Skills & Qualifications (\"Nice to Have\"):

Tools/platforms: Rockwell/Siemens/Schneider PLCs, FactoryTalk/WinCC/Ignition, OSIsoft PI AF/Analytics, Aveva/Wonderware, GE Proficy, and BI tools; familiarity with OPC UA/MQTT.
Exposure to audits/standards: BRCGS/SQF audits, FDA/USDA/FSMA compliance, 3-A/EHEDG sanitary design, GS1/EPCIS traceability, ISO 22000/9001/50001.
Continuous improvement: Lean/Six Sigma, SMED, TPM, Kaizen, loss trees; line balancing, finite-capacity scheduling, batch genealogy, and recall readiness.
Prior plant-floor experience: commissioning/startups, changeovers, CIP validation, cross-functional RCA with operations/QA/maintenance across shifts.

Success Metrics:

Customers clearly understand what we are building and why.
Engineering teams receive crisp, unambiguous requirements.
AI solutions are grounded in real operational needs-not academic exercises.
Business outcomes are measurable, defensible, and repeatable.

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.", "salary_raw": null}

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24186589
Posted 5 days ago

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