Operations Analyst

1What you'd actually do

• Pulling data out of internal systems - usually via SQL queries against a database, or exporting from an operational system - and cleaning it up so it can actually be analysed
• Building and updating dashboards or recurring reports that track operational measures like processing times, error rates, backlogs, stock levels or service levels, and chasing down why a number moved
• Investigating exceptions: a batch that failed overnight, a shipment that missed its window, a set of trades that didn't settle, a spike in customer complaints - working out the root cause and who needs to fix it
• Sitting with or shadowing the people who run the process (warehouse staff, contact centre agents, settlements teams, clinical admin) to understand what really happens versus what the process document says
• Modelling scenarios in Excel or Python - what happens to staffing if volumes rise, what a change to a shift pattern does to throughput, what a new supplier lead time means for stock
• Writing short summaries and slide packs for managers, and presenting findings in operational review meetings where the audience wants the recommendation first, not the methodology
• Supporting or running a small improvement project - documenting the current process, agreeing the change, testing it, and checking afterwards whether the numbers actually moved

2How graduates get in

• Graduate schemes are the most common structured route. Many large banks, insurers, retailers, logistics firms, utilities and manufacturers run an 'operations' or 'business operations' graduate programme with rotations across different operational teams. These typically open in autumn for the following September.
• Direct entry to an advertised analyst or junior analyst vacancy. This is very common outside the big graduate-scheme employers - smaller companies, scale-ups and public sector bodies hire analysts one at a time rather than in cohorts, and often advertise year-round.
• Internal moves from a frontline operational role. A lot of operations analysts started in a contact centre, warehouse, branch, back-office processing team or clinical admin role and moved sideways once they'd shown they could handle data. This route is more common than graduate careers advice usually suggests, and the operational knowledge is genuinely valued.
• A summer internship or placement year with the same employer, converting to a graduate offer. Placement years are especially common in logistics, manufacturing, retail and financial services operations.
• Via consultancy or an outsourced service provider. Some graduates join an operational consultancy or a business process outsourcing firm and then move client-side into an in-house analyst role.
• Apprenticeship-style or degree apprenticeship routes exist in some large employers, and a small number of graduates enter through the NHS Graduate Management Training Scheme or Civil Service Fast Stream and end up doing recognisably similar operational analysis work in the public sector.

3What employers ask for

• A degree is usually expected but the subject often doesn't matter much. Numerate subjects (economics, maths, statistics, engineering, business, geography, sciences) are common and sometimes preferred, but plenty of employers hire from any discipline if you can evidence comfort with numbers.
• A 2:1 is the most commonly stated bar, particularly on structured graduate schemes. A good many employers accept a 2:2, especially for directly advertised roles at smaller organisations, and some have dropped degree classification filters entirely - it varies a lot.
• Some employers still apply UCAS points or A-level grade filters, often including maths at A-level or GCSE. This is more common in banking and large corporate schemes than elsewhere.
• Demonstrable comfort with Excel is close to universal. SQL is increasingly asked for and is sometimes tested at interview; Python or R appear in more data-heavy roles but are not usually a hard requirement at entry level.
• No mandatory professional qualification to enter. Depending on sector, employers may later fund things like Lean Six Sigma belts (a process improvement methodology), APM or PRINCE2 project management qualifications, CIPS for procurement-facing work, or CFA/IMC for investment operations. Chartered status via the Chartered Institute of Logistics and Transport or CIPS is relevant in supply chain paths.
• Selection usually involves online numerical and situational judgement tests, then a case exercise or data task, then interview. Some employers use an assessment centre; smaller employers often just do two interviews and a practical task.

4Skills that matter

5Where it leads

1. First one to three years: analyst. You are given defined questions and recurring reporting, with someone reviewing your work. The focus is on learning the systems, the data and how the operation genuinely functions.

2. Senior analyst: you scope your own questions, own a process area or a set of metrics end to end, and are trusted to take findings straight to operational managers. Timing varies widely - two to four years is common but it depends far more on the employer's structure than on any fixed rule.

3. From there the path forks. Some move into operations management, taking responsibility for a team and its performance rather than analysing it. Others go deeper technical - data analyst, business intelligence, data science - if they've built strong coding skills. Others move into project or change management, running the improvement work rather than sizing it.

4. Mid-career destinations include operations manager, head of operational performance or continuous improvement lead, business partner roles supporting a specific function, or product or programme roles in tech-driven businesses.

5. Longer term, the operations route is one of the more common feeders into senior general management - COO-type roles, supply chain directorships, or heading a service function - because you accumulate a detailed picture of how the business actually makes money and where it leaks. This takes many years and is not a given.

6Where this varies

This title covers genuinely different jobs. In investment banking or asset management, an operations analyst usually works in trade settlement, reconciliations, collateral or client onboarding - highly regulated, deadline-driven, with a strong controls focus and a real chance of early-morning or late cut-off pressure. In retail, logistics and manufacturing it leans towards supply chain, demand forecasting, warehouse and network performance, often with site visits and shift-adjacent hours. In tech and scale-ups it often means business operations - a broad, loosely defined role covering whatever the company needs measured this quarter, with more SQL and more autonomy but less structure. In the NHS and wider public sector it typically involves patient flow, capacity planning and waiting-list analysis. The daily tools overlap; the subject matter, hours and culture do not. It is worth reading the actual job description carefully rather than assuming the title tells you much.