Business Analyst (Oil & Gas Domain)

Introduction:

Job Title: Business Analyst

Department: IndustrialAI / Product

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.

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:

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.