Business Analyst

Applied Computing; Greater London; Hybrid; GBP 28,000 - 42,000; Full time

Job summary

Applied Computing in the energy sector seeks a recent graduate to join our Project Management team as a Business Analyst. You’ll help ensure our delivery of Orbital to customers across oil & gas, refining, and petrochemicals stays well-organised and data-driven.

Work closely with Project Managers, Engineering, and Customer teams to track performance, surface insights, and support faster, better-informed decisions as we scale.

Qualifications

• Quantitative degree or equivalent practical experience.
• Strong data-driven mindset with ability to turn data into insights.
• Proficiency in SQL and spreadsheets; basic Python is a plus.

Responsibilities

• Support Project Managers in tracking timelines, budgets, resources and deliverables across deployments.
• Build dashboards and reports for leadership to monitor project health.
• Analyze project data to identify trends, risks and improvement opportunities.
• Gather requirements from internal and customer stakeholders for planning.
• Collaborate with Engineering, Data Science and Customer Success to translate needs into plans.
• Help refine internal processes, templates, and tools as the team scales.
• Prepare data-driven summaries for internal reviews and customer updates.
• Spot opportunities to automate recurring analysis and reporting tasks.

Skills

Analytical skills

Data analysis

SQL

Python

Spreadsheets

Education

Degree in Process Engineering / Data Science / Computer Science

Tools

Dashboards

Reporting tools

Job description

About Applied Computing

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.

About Applied Computing

Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.

The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data.

We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.

We’ve raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We’re just getting started.

The Role

As a Business Analyst on our Project Management team, you’ll help ensure that our delivery of Orbital to customers across oil & gas, refining, and petrochemicals is well-organised, data-driven, and continuously improving. You’ll work closely with Project Managers, Engineering, and Customer teams to track delivery performance, surface insights from project and operational data, and help us make faster, better-informed decisions as we scale.

This is a great opportunity for a recent graduate with a strong quantitative background ( ideally in Data Science, Computer Science, or a related field) who wants to apply analytical thinking to real-world, high-impact problems in the energy industry, at an early-stage startup where you’ll have genuine ownership from day one.

What You’ll Do

• Support Project Managers in tracking timelines, budgets, resourcing, and deliverables across multiple concurrent customer deployments
• Build and maintain dashboards and reports that give leadership and delivery teams clear visibility into project health and performance
• Analyse project and operational data to identify trends, risks, and opportunities for process improvement
• Gather and document requirements from internal and customer stakeholders to support project scoping and planning
• Partner with Engineering, Data Science, and Customer Success to translate business needs into clear, actionable project plans
• Help develop and refine internal processes, templates, and tools as the Project Management function scales
• Prepare data-driven summaries and materials for internal reviews and customer-facing updates
• Spot opportunities to apply automation or lightweight tooling to streamline recurring analysis and reporting work

About You

• A degree in Process Engineering, Data Science, Computer Science, or another quantitative field (or equivalent practical experience)
• Strong analytical skills and confidence working with data. Spreadsheets and SQL as standard, with scripting experience (e.g. Python) a plus
• Excellent written and verbal communication, with the ability to turn data into clear insights for both technical and non-technical audiences
• Highly organised, with strong attention to detail and comfort managing multiple priorities at once
• A proactive, curious mindset. Comfortable asking questions, challenging assumptions, and figuring things out in a fast-moving startup environment
• Genuine interest in energy, industrial operations, or applying AI to real-world problems
• No prior professional experience required, we’re looking for strong fundamentals and a hunger to learn and contribute

Applied computing is one of its kind revolution with a mission to deliver sustainable abundance for a growing planet, through AI that works for the Energy Industry