Commercial Business Analyst

Enablis

Greater London

Hybrid

GBP 65,000 - 90,000

Full time

9 days ago
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Job summary

Enablis in London (Hybrid) seeks a Commercial Business Analyst (Senior Consultant) to lead value-driven analysis across engagements. You will tie cost, profitability and organizational OKRs to quantifiable outcomes while shaping business cases, baselines and evidence for client leadership.

The role emphasizes rigorous analysis, stakeholder communication and the ability to defend numbers with confidence and clarity in a fast-changing client environment.

Qualifications

  • Strong ability to elicit clear requirements and map processes.
  • Experience modelling benefits, costs and value realisation.
  • Comfort communicating with senior stakeholders and translating analysis into decisions.

Responsibilities

  • Baselining how work happens today including cost, volume, errors and time.
  • Building quantified business cases with best-case vs realistic value and sensitivity analysis.
  • Modelling realised value accounting for adoption and integration.
  • Makes build-vs-buy calls and anchors to client OKRs.
  • Tracks benefits against baseline through pilots with evidence.
  • Supports go/adjust/stop decisions with clear justification.
  • Performs traditional BA work: elicitation, process analysis and documentation.
  • Turns engagement evidence into reusable value benchmarks.

Skills

Requirements elicitation
Financial modelling
Stakeholder communication
AI literacy
Commercial awareness
Process mapping

Job description

Commercial Business Analyst (Senior Consultant)

London (Hybrid)

The Role

This is a Business Analyst role with a commercial lens: you wake up asking why this is being built. On new-world engagements, every Enablis build must tie to cost, profitability or an organisational OKR — and produce a number the client's CFO can defend. You own that number. On established engagements, you bring the same rigour to classic BA work: requirements, process analysis, and keeping delivery honest about the business outcome.

You’ll work across Assess and Build engagements alongside Delivery Leads and Forward Deployed AI Engineers. Your outputs — value cases, baselines, benchmarks and benefit evidence — become the reusable proof points our business development takes to market.

What You'll Be Doing
  • Baselining how work happens today: cost, volume, errors and time — the starting point every value claim is measured against
  • Building quantified business cases: best-case versus realistic value, with sensitivity analysis on the assumptions
  • Modelling realised value, not just potential: adjusting for adoption, effectiveness and integration, because potential value routinely overstates by multiples
  • Making build-vs-buy calls: what to buy, what to build, and why
  • Connecting every build to the client's OKRs and board-level metrics — translating cycle-time wins into cost and margin
  • Tracking benefits against baseline through pilots, so “does it pay?” gets answered with evidence
  • Contributing to go / adjust / stop decisions — including making the honest case to stop
  • Classic BA work on established engagements: requirements elicitation, process analysis and documentation that keeps complex delivery grounded in business outcomes
  • Turning engagement evidence into reusable value benchmarks, calculators and proof points for future work
What We're Looking For
  • A strong business analysis foundation: requirements elicitation, process mapping, structured interviews, workshops, and crisp written synthesis
  • Business case and financial modelling skills: benefits identification, quantification and realisation tracking
  • Analytical rigour with imperfect data — producing a number a team can defend without direct CFO access, and being honest about its confidence bounds
  • Commercial awareness: how consulting engagements are priced, scoped and protected from drift
  • Confident communication with senior stakeholders, up to board level
  • Enough AI literacy to challenge feasibility claims and understand what drives adoption of AI tools
  • An instinct for spotting and scoping the next opportunity from a problem lens — your analysis is also our pipeline
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