Business Analyst (Oil & Gas Domain) Full Time NEW

Job Title:

Business Analyst

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 including Oil & Gas, Energy, Semiconductor, Chemicals, Pharmaceuticals, Utilities, Mining & Metals, across both processes and discrete manufacturing. Our mission is simple (and hard): 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. You’ll work closely with data scientists and engineers to ensure that advanced AI/ML solutions are solving the right problems—and that those solutions are usable, valuable, and scalable in real-world industrial environments.

This role is ideal for someone who enjoys ambiguity, asks uncomfortable “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 Oil & Gas operations, asset maintenance, reliability, or process control concepts.
• Proven ability to gather, structure, and document complex business requirements; translate the business/domain problem into a data science problem.
• 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, showcasing value to 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.

Domain Knowledge & Expertise (Oil & Gas):

• Upstream production operations: well surveillance, allocation/metering, artificial lift diagnostics, choke management, sand/hydrate/slugging risk, flow assurance, well testing.
• Drilling & completions: ROP optimization, stuck pipe/torque & drag, vibration/MSE, mud/tripping, completion/frac quality indicators, WITSML data streams.
• Facilities & midstream: separators/dehydration/compression, heat exchangers/fouling, flaring/PID/upsets, energy management; pipelines: leak detection, batch tracking, station performance, ILI/pigging, corrosion/integrity.
• Reliability & integrity: rotating equipment condition monitoring, vibration/process signals, RCM/FMEA, Weibull/reliability analytics, corrosion mechanisms (NACE/AMPP).
• HSE & regulatory: process safety (PHA/HAZOP, SIL), MOC, emissions reporting (methane, flare minimization, LDAR), relevant API/ISO standards.

Preferred Skills & Qualifications (“Nice to Have”):

• Tools/Platforms: Aspen HYSYS/Plus, OSIsoft PI AF/Analytics, Honeywell, CygNet, Kongsberg, Ignition.
• Exposure to digital oilfield workflows and production surveillance centers.
• Prior field time (onshore/offshore) or site commissioning experience.
• Familiarity with IEC/ISA 62443, IT/OT security practices, and industrial data privacy.
• Ability to travel for site discovery, deployment, and change management.

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.