Business Process Analyst - Automation & Discovery

lseg; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

LSEG in London is seeking a Business Process Analyst to join the DSM Digitalisation Centre of Excellence. You will map end-to-end operations, identify bottlenecks, and frame automation opportunities with data‑driven use cases for engineering teams.

Collaborating with DSM Business Services, SMEs and data engineers, you will apply SQL, Python and Power BI to surface insights, quantify value, and baseline KPIs for adoption and value realisation.

Qualifications

• Analyse end-to-end operational workflows and identify bottlenecks.
• Triangulate documentation, data and interviews to define real work practices.
• Quantify inefficiencies and automation opportunities with business owners.
• Translate findings into clear, delivery-ready use cases.

Responsibilities

• Map as-is processes and design to-be automation concepts.
• Assess automation feasibility and expected business value.
• Support intake, discovery and prioritisation before delivery.
• Create visualisations to communicate process insights.
• Collaborate with engineering, analytics and SMEs.

Skills

SQL

Python

Power BI

Process analysis

Stakeholder engagement

Tools

Celonis

QPR

Power Automate Process Mining

Job description

Business Process Analyst - Automation & Discovery

DSM Digitalisation CoE, LSEG

About the Role

We are seeking a Business Process Analyst to join the Digitalisation Centre of Excellence within DSM at LSEG. This role sits at the heart of process discovery, automation opportunity exploration , and digital transformation , helping shape well‑defined, data‑driven use cases that feed into our engineering workstreams.You will analyse real‑world operational processes, triangulating between documentation, system data, process mining insights, and interviews with business teams. Your goal is to surface inefficiencies, uncover automation and AI enhancements, and translate them into clear, structured problem statements the engineering teams can act on.This is a hands‑on, discovery‑focused role suited to someone who enjoys digging into how work really happens in practice, engaging closely with DSM Business Services, operational SMEs, Business Architects, and engineering leads in Data Engineering, Analytics, ML, and AI.The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM.

Key Responsibilities

Business Process Analysis

• Analyse end‑to‑end operational workflows, including manual steps, handoffs, approvals, exceptions, and rework loops.
• Combine process artefacts, interviews, and direct operational insight to understand how work is performed in practice, not just how it is documented.
• Engage with SMEs to uncover bottlenecks, challenges, and workarounds not easily visible in system logs.
• Detect inefficiencies, recurring manual effort, and areas where digital improvements could have real impact.

Data‑Driven Discovery & Insight

• Use SQL to explore operational datasets and quantify volumes, patterns, exceptions, and constraints.
• Use Python (e.g., Pandas) for lightweight analytical exploration to support hypothesis testing and prioritisation.
• Create simple Power BI visualisations to support discovery discussions.
• Where available, interpret process mining outputs (e.g., Celonis, QPR, Power Automate Process Mining) to validate real‑world execution paths and uncover hidden variants.
• Combine qualitative process understanding with quantitative insight to strengthen use‑case discovery.

Automation & Use‑Case Discovery

• Spot areas for workflow and rules‑based automation, analytics enhancements, data‑driven decision support, or ML/AI augmentation (in collaboration with engineering).
• Assess each potential enhancement using structured criteria including impact, feasibility, suitability, dependencies, and constraints.
• Support the Digitalisation intake, discovery and assessment process, ensuring opportunities are consistently evaluated, documented and prioritised before entering delivery.
• Quantify expected business value, effort, complexity and implementation considerations to support prioritisation decisions.
• Translate discoveries into delivery‑ready use cases, including: Clear problem statements Scope and assumptions Expected benefits Risks and constraints Success metrics and value logic
• Define and baseline operational KPIs to support opportunity assessment and post‑implementation value tracking.

As‑Is > To‑Be Translation

• Create clear as‑is process maps and to‑be digital/automation concepts (BPMN or equivalent).
• Clearly articulate what will change, what will remain, and where automation or AI will be applied.
• Provide contextualised, well‑scoped inputs to engineering teams to support effective design and delivery.

Prioritisation Support

• Contribute input to a prioritised pipeline of initiatives based on business impact, complexity, dependencies, and readiness.
• Use simple prioritisation methods (e.g., impact vs effort) to support structured decision‑making.
• Help determine the most appropriate engineering workstream for each use case.

Operating Model Communication

• Produce clear, concise visualisations of processes, operating models, and future‑state workflows.
• Prepare communication materials and presentations that explain use cases, benefits, and expected changes in accessible, non‑technical language.
• Support alignment sessions by helping teams understand how processes and roles may evolve.

Adoption & Value Realisation Support

• Identify potential change impacts early in the lifecycle to support smoother solution adoption.
• Act as a feedback channel between business users and engineering teams during early rollout.
• Track intended vs realised outcomes and capture insights and lessons learned.
• Contribute to internal narratives articulating the value delivered by Digitalisation.

Collaboration & Continuous Improvement

• Work closely with DSM Business Services, operational SMEs, Business Architects, and engineering teams.
• Maintain a structured view of analysed processes and discovered enhancements.
• Contribute to improving templates, discovery approaches, prioritisation methods, and ways of working.

How This Role Fits into Delivery

This role operates upstream of engineering, strengthening discovery,