UK

United Kingdom · Internal consulting · Principal/Manager (12-16 years)

Performance Analysis Manager

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports10-25 reports
  • Reports toDirector of Performance & Strategy
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of Performance Consulting · Senior Manager, Internal Consulting · Principal Performance Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 5 of 10 standards
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 4 of 10 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 3 of 10 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Performance Analysis Manager

4 units that map to this job, from the qualifications that cover it.

  1. Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
  2. Data Analytics Primer NOCN · covers 5 of 10 standards Level 4
  3. Data Analysis and Visualisation OTHM Qualifications · covers 4 of 10 standards Level 7
  4. Data Analysis BCS, The Chartered Institute for IT · covers 2 of 10 standards Level 4
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Performance Analysis Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Ethical AI & Data Governance Leadership
  • Complex Adaptive Systems Thinking
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Performance Analysis Manager plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

A Performance Analysis Manager leads a team that studies what is working in a business and what is not.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Excel (Power Query, VBA) Strategic

You'll understand the limitations of Excel versus enterprise platforms, ensuring your team uses it appropriately. You'll be able to audit complex models for logic flaws and delegate the build, but you'll still use it for quick, ad-hoc analysis to pressure-test your team's findings.

SQL Architectural

You'll be able to design schemas for performance analysis data marts and understand query optimisation. You'll partner closely with Data Engineering to define data pipelines, ensuring your team has access to clean, reliable data. You won't be writing daily queries, but you'll guide those who do.

Tableau / Power BI Strategic

You'll govern the enterprise BI strategy for performance analysis, defining standards for data visualisation and storytelling across your team. You'll manage BI platform deployment (e.g., Tableau Server, Power BI Premium) and ensure dashboards are impactful and user-friendly for senior leaders.

Python (pandas, NumPy) Strategic

You'll champion the use of Python for advanced analytics (forecasting, simulation, machine learning prototypes) within your team. This means setting coding standards, managing the analytical codebase, and ensuring your team uses Python effectively for complex data manipulation and statistical modelling.

Asana / Jira Administrator

You'll manage these tools for the entire Performance Analysis team, defining project management methodologies, configuring workflows, and ensuring consistent adoption and reporting. You'll use it to monitor team workload, track project progress, and report on team productivity to senior leadership.

Anaplan / Workday Adaptive Planning Architect/Partner

You'll work directly with the FP&A team, modelling complex scenarios and integrating operational performance drivers into the corporate financial plan. Your team's analysis will feed directly into these platforms, and you'll ensure the integrity and accuracy of that integration.

Confluence / Notion Strategist

You'll own the knowledge management strategy for the entire Internal Consulting practice, or at least for your domain. This means ensuring that all insights, methodologies, and project learnings are captured, shared, and easily reusable across the team and wider organisation. You'll design the structure and champion its use.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Project Prioritisation & Scope Executes assigned tasks; escalates any scope changes to supervisor. Proposes project scope and approach for routine projects; consults manager on significant changes. Defines scope and approach for complex workstreams; makes recommendations to project lead on trade-offs.
Methodology & Tool Selection Uses predefined tools and methodologies under guidance. Selects appropriate methodologies for routine analysis; proposes new tools for specific tasks. Designs and implements new analytical methodologies for workstreams; recommends new tools for team adoption.
Team Hiring & Development No hiring authority; participates in learning and development programmes. Provides informal guidance to new joiners; identifies personal development needs. Mentors 1-2 junior analysts; contributes to interview processes.
Budget Allocation (Functional) No budget authority. Identifies resource needs for own projects; escalates cost implications. Manages project-specific budgets up to £10K; flags overruns to lead.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Identified Business Value
The total quantifiable cost savings or revenue uplift directly attributable to your team's recommendations and analyses.
Target · Greater than £5M annually

Your team's analysis led to optimising a supply chain process, reducing operational costs by £1.2M in Q2, and identified a new market segment worth £3.8M in annual revenue.

Recommendation Adoption Rate
The percentage of major strategic recommendations from your team that are formally adopted and implemented by business units.
Target · Consistently above 70%

Out of 10 key recommendations presented last quarter, 8 were formally approved for implementation by the respective business unit heads, giving you an 80% adoption rate.

Performance Management Maturity Score Improvement
Improving the organisation's overall score on our internal performance management maturity framework (e.g., moving from 'Reactive' to 'Proactive').
Target · One level improvement over a 2-year period

Starting at a score of 2.5 ('Ad-hoc Reporting'), your initiatives helped move the organisation to 3.5 ('Standardised Monitoring') within 18 months, demonstrating tangible progress in data literacy and use.

Team Productivity & Efficiency
The average time taken for your team to complete standard analysis requests, balanced against the quality of output.
Target · Reduce average turnaround time by 15% year-on-year without compromising quality, or maintain efficiency with increased scope.

Your team completed 25 major analysis projects this quarter, 90% of which were on time, with an average project duration of 6 weeks, down from 7 weeks last year, all while maintaining high stakeholder satisfaction.

Team Effectiveness & Development
The growth, engagement, and retention of your direct reports, and their ability to operate effectively as a cohesive unit.
  • High team engagement scores (e.g., >75% on internal surveys), low voluntary turnover (<10% annually), positive 360-degree feedback from team members, successful internal promotions or lateral moves for at least two team members per year, demonstrable improvement in team members' technical and consulting skills.
Strategic Partnership & Influence
How well you and your team are perceived as trusted advisors by senior leadership and business unit heads.
  • Regular invitations to strategic planning sessions, proactive consultation on major business initiatives, positive feedback from executive stakeholders on the clarity and impact of your team's insights, your team's ability to 'pre-sell' difficult recommendations, and the consistent demand for your team's involvement in critical projects.
Knowledge Management & Best Practice Sharing
Your contribution to building and maintaining a robust knowledge base for the Internal Consulting practice, ensuring insights are captured and reused.
  • Regular contributions to the internal knowledge hub (e.g., Confluence, Notion), development of new templates or methodologies adopted by the wider team, active participation in internal communities of practice, and demonstrable examples of past analyses being successfully reused or adapted for new projects, saving time and effort.
Quality of Strategic Recommendations
The depth, practicality, and long-term viability of the solutions and strategies proposed by your team.
  • Recommendations consistently address root causes, not just symptoms
  • they are financially sound and operationally feasible
  • they consider potential risks and unintended consequences
  • and they are presented with clear, compelling narratives that resonate with senior leaders. Post-implementation reviews confirm the recommendations delivered expected results.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Driving Strategic Impact

You'll feel a real buzz from seeing your team's analysis directly influence major business decisions, whether it's optimising a £10M budget or launching a new product line. It's about moving the big levers.

Your team's recommendation to restructure the sales territories, based on performance data, is adopted by the board and leads to a 15% increase in regional revenue in the following year.

Building & Developing Talent

You genuinely enjoy coaching, mentoring, and seeing your team members grow their skills and careers. Their successes are your successes. You'll spend a good chunk of your week in 1-to-1s, giving feedback, and unsticking problems.

Two of your Senior Performance Analysts get promoted to Lead Consultant roles within 18 months under your guidance, and they regularly credit your mentorship.

Solving Complex, Ambiguous Problems

You thrive on taking a messy, ill-defined business problem, breaking it down, and leading your team to find a clear, data-backed solution. The more challenging the puzzle, the more engaged you'll be. This often means dealing with incomplete data and conflicting opinions.

The CEO asks your team to figure out why customer churn suddenly spiked in a key segment, with no clear data source. You lead the charge to define the problem, pull disparate data, and present a clear root cause and solution.

What frustrates people
  • Being told the organisation is 'data-driven,' but seeing decisions made on gut feeling when your team's analysis contradicts a senior leader's pet project.
  • Spending weeks on a deep-dive analysis only for the project to be de-prioritised because business objectives shifted overnight.
  • Dealing with fragmented, inconsistent data sources that require Herculean efforts from your team just to get a reliable baseline.
  • The constant need to justify the value of an internal consulting team that doesn't directly own a P&L, especially during budget season.
  • When your team's recommendations are implemented poorly by a business unit, and then your 'bad analysis' gets the blame, not their flawed execution.
What this role does not give you
  • A quiet, predictable work schedule with no urgent, high-stakes requests.
  • Direct control or authority over the business units your team advises.
  • A guarantee that every single recommendation your team makes will be adopted and perfectly implemented.
  • A role where you can avoid internal politics or difficult conversations with senior leaders.

8Who you work with

This role directly shapes the analytical capabilities and strategic influence of the Internal Consulting department. Your leadership ensures that performance insights are not just accurate, but also actionable and adopted across the business, driving significant improvements in operational efficiency and strategic decision-making. You're essentially building the engine that powers data-driven change.

Inside the business
  • SVP of Operations
  • CFO and Finance Leadership
  • Heads of Product and Marketing
  • Business Unit Managing Directors
  • Data Engineering and IT Leadership
Outside the business
  • Industry bodies for best practices in performance management
  • Strategic vendors for analytics platforms or tools
  • External consulting partners (occasionally, for specific projects)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience leading and managing a team of analytical professionals (typically 5+ direct reports for at least 3 years), with demonstrable success in their development and retention.
  • Extensive experience (8+ years) in a senior analytical or consulting role, preferably within an internal consulting function or a top-tier external consulting firm.
  • Demonstrable track record of driving significant business impact through data-driven insights and strategic recommendations, with quantifiable results (e.g., £M savings or revenue generation).
  • Expert-level proficiency in at least one major BI tool (Tableau or Power BI) and advanced SQL for complex data extraction and manipulation. You should be able to audit your team's queries and dashboards.
  • Strong understanding and practical application of at least two major performance management frameworks (e.g., Balanced Scorecard, OKRs, Lean Six Sigma).
  • Excellent communication and presentation skills, with a portfolio of compelling reports and presentations delivered to senior leadership.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Analytics Platform Governance

Essential for future readiness in this role.

Data catalogue and metadata management · Access control and security protocols (RBAC) · Model versioning and deployment strategies (MLOps · Data quality monitoring and remediation processes · Cloud cost optimisation for analytical workloads

  • This month: Review our current data governance policies and identify gaps relevant to your team's work.
  • Next quarter: Map all data sources and analytical tools used by your team, identifying ownership and dependencies.
  • Month 6: Propose a standardised project structure and documentation requirements for all new analytical projects.
  • Month 9: Work with IT to implement a secure, version-controlled environment for your team's Python/R codebases.
  • Month 12: Develop a 'platform health' dashboard to monitor usage, performance, and compliance across your team's tools.

Quick win: Standardise how your team names files and folders for projects. It's simple, but it makes a huge difference to find things later.

AI-Driven Simulation & Predictive Modelling Strategy

Essential for future readiness in this role.

Time series forecasting with deep learning (e.g., · Agent-based modelling for complex systems · Monte Carlo simulations for risk assessment · Causal inference techniques (e.g., DoWhy, CausalML · Model interpretability techniques (e.g., SHAP, LIM

  • This quarter: Identify one business problem where traditional forecasting falls short and explore AI alternatives.
  • Next quarter: Sponsor a team member to take an advanced course in machine learning for time series or causal inference.
  • Month 6: Develop a 'model validation' checklist for AI-driven predictive models, including bias checks.
  • Month 9: Lead a project to build an AI-driven simulation model for a key business process (e.g., customer acquisition).
  • Month 12: Present the results and decision-making impact of an AI-driven model to a senior leadership forum.

Quick win: Encourage your team to experiment with open-source AI libraries for forecasting (e.g., Prophet, AutoTS) on existing datasets to see what's possible.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry conferences and webinars focused on advanced analytics, internal consulting best practices, and AI applications in business.
  • Take leadership development courses, particularly those focused on coaching, strategic influence, and managing high-performing teams.
  • Engage with peer groups or professional networks for internal consulting leaders to share insights and learn from others' experiences.
  • Dedicate time to reading relevant books and articles on organisational psychology, change management, and strategic leadership.
  • Mentor junior managers or team leads within the wider organisation to hone your leadership and coaching skills.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Ethical AI & Data Governance Leadership

Essential for future readiness in this role.

  • AI bias detection and mitigation strategies
  • Data anonymisation and pseudonymisation techniques
  • Explainable AI (XAI) principles for transparency
  • Regulatory frameworks for AI (e.g., EU AI Act, UK'
  • Data lineage and auditability in AI-driven workflo

Complex Adaptive Systems Thinking

Essential for future readiness in this role.

  • Feedback loops (positive and negative)
  • Emergent properties of systems
  • Interdependencies and network effects
  • Leverage points for systemic change
  • System dynamics modelling basics

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Balanced Scorecard (BSC) & Strategy Maps
  • Objectives and Key Results (OKRs)
  • Root Cause Analysis (RCA)
  • Business Process Re-engineering (BPR)
  • Stakeholder Mapping & Influence Strategy
  • Change Management Frameworks (e.g., Kotter, ADKAR)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Performance Analyst (Internal Promotion)

    3-5 years as a Senior Analyst

    Skills to master

    • Leading complex workstreams, mentoring junior colleagues, managing stakeholder expectations for specific projects, and demonstrating an ability to influence without direct authority. You'd be proving you can run a project end-to-end and get results.

    You're ready to move on when

    • Successfully led 5+ complex analytical projects with significant business impact.
    • Consistently received strong feedback on mentorship and coaching abilities.
    • Demonstrated proactive problem-solving beyond assigned tasks, identifying new areas for analysis.
    • Built strong relationships with mid-level business stakeholders, who actively seek your input.
  2. 2

    External Management Consultant

    5-8 years in a management consulting firm (e.g., Big Four, boutique strategy firm)

    Skills to master

    • Client management, project delivery, team leadership on engagements, and developing strategic recommendations across diverse industries. You'd be bringing that external rigour and structure inside.

    You're ready to move on when

    • Managed multiple client engagements, consistently delivering on time and budget.
    • Led project teams of 3-5 consultants, responsible for their output and development.
    • Developed and presented strategic recommendations to C-suite level clients.
    • Proven ability to quickly understand new industries and business models.
  3. 3

    Functional Lead (e.g., Head of BI, Analytics Lead in another department)

    4-6 years leading an analytics function within a specific business unit (e.g., Marketing Analytics, Sales Operations Analytics)

    Skills to master

    • Deep domain expertise in a specific functional area, building and managing a small analytical team, and translating business needs into analytical requirements. You'd be moving from a specialist leader to a broader consulting leader.

    You're ready to move on when

    • Successfully built and managed an analytics function within a business unit, driving measurable improvements.
    • Developed strong relationships with senior leaders within that functional area.
    • Demonstrated ability to recruit, train, and retain analytical talent.
    • Proven track record of delivering actionable insights that directly influenced functional strategy.

15Where this role leads

The long view: This role can lead to senior analytical or strategic posts, such as Chief Performance Officer or Head of Internal Consulting.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Performance Analysis Manager is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Principal Internal Consultant (Individual Contributor Track)

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Data Analytics, worked against Performance Analysis Manager.

Data Analytics Level 5

Applied to your work in Performance Analysis Manager

The objective of this unit is to enable learners to understand and apply data analytics techniques for decision-making. Learners will be able to apply descriptive, predictive, and prescriptive analytic methods, utilising statistical methods, to convert raw data into actionable insights and determine the best course of action.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my Performance Analysis Manager plan, free
See Your Progress Grow Illustration
Performance Analysis Manager
  • Balanced Scorecard (BSC) & Strategy Maps
  • Objectives and Key Results (OKRs)
  • Root Cause Analysis (RCA)
  • Business Process Re-engineering (BPR)
  • Stakeholder Mapping & Influence Strategy
  • Change Management Frameworks (e.g., Kotter, ADKAR)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Performance Analysis Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director of Performance & Strategy

    3-5 years as Performance Analysis Manager

    Level 6 (Director/VP)

    • P&L management for a larger business unit (£2M-£10M+)
    • M&A due diligence and integration (from a performance analysis perspective)
    • External market analysis and competitive intelligence integration
    • Advanced risk management and mitigation strategies

  2. Principal Internal Consultant (Individual Contributor Track)

    3-5 years as Performance Analysis Manager

    Equivalent to Level 6 (Director/VP) in compensation and influence

    • Architecting complex, bespoke analytical solutions for the most challenging business problems
    • Developing and teaching advanced analytical techniques to the wider consulting team
    • Acting as a 'troubleshooter' for high-stakes, ambiguous analytical failures
    • Leading cross-functional task forces on strategic initiatives, providing deep technical and analytical expertise
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, you and your team spend too much time on the mundane. Imagine if your analysts could focus purely on the 'why' and the 'so what,' instead of the 'what happened.' That's where AI comes in. We're not talking about replacing people; we're talking about making your team incredibly more efficient and effective.

As a Performance Analysis Manager, you're constantly looking for ways to get more strategic insight from your team, faster. AI isn't some futuristic dream; it's a practical set of tools that can automate the grunt work, accelerate analysis, and even help craft more compelling narratives. This means your team delivers more value, and you get to focus on the bigger picture.

Automated Performance Reporting

Use AI tools to connect directly to all your disparate data sources (think Salesforce, SAP, bespoke internal systems) and auto-generate those weekly or monthly performance dashboards and initial commentary. The AI can draft the 'what happened' summary, freeing your team to dig into the 'why' and 'what next.' This isn't just about pretty charts; it's about getting the baseline reporting done in minutes, not hours. Honestly, it's a game-changer for routine updates.

Anomaly & Driver Detection

Forget manually sifting through millions of data points to find out why sales dropped in a specific region or why customer churn spiked. AI-powered analytics platforms can automatically scan all your data, identify significant statistical deviations, and even suggest the top drivers. This dramatically accelerates root cause analysis, meaning your team can get to the core problem much faster and present solutions, rather than just identifying symptoms. It's like having a super-powered detective on your team.

Best Practice & Benchmark Research

When you kick off a new internal consulting project, your team usually spends days researching industry-specific KPIs, performance benchmarks, and relevant case studies. Now, imagine an AI assistant doing that heavy lifting in hours. Feed it your problem statement, and it'll rapidly summarise external context, giving your team a massive head start and ensuring your recommendations are grounded in wider industry knowledge. It's like having a research assistant who never sleeps.

Executive Summary & Narrative Crafting

After your team has done the heavy analytical lifting, the next challenge is often translating those complex findings into a clear, concise, and compelling executive summary or PowerPoint narrative. You can feed the key data points, charts, and conclusions into an AI model to generate a first draft. This helps ensure the message is sharp, business-focused, and ready for senior leadership, saving crucial time on the final polish. It's about getting to the 'so what' faster and more effectively.

Common questions

Common questions

How do you become a Performance Analysis Manager?

Common routes in include Senior Performance Analyst (Internal Promotion) (3-5 years as a Senior Analyst), External Management Consultant (5-8 years in a management consulting firm (e.g., Big Four, boutique strategy firm)) and Functional Lead (e.g., Head of BI, Analytics Lead in another department) (4-6 years leading an analytics function within a specific business unit (e.g., Marketing Analytics, Sales Operations Analytics)). Times vary with prior experience.

Where can a Performance Analysis Manager progress to?

This role can lead on to Director of Performance & Strategy (3-5 years as Performance Analysis Manager) and Principal Internal Consultant (Individual Contributor Track) (3-5 years as Performance Analysis Manager), depending on the skills you build.

What new skills matter most for a Performance Analysis Manager?

Increasingly, Ethical AI & Data Governance Leadership and Complex Adaptive Systems Thinking. These are the skills our record of this role lists as growing.

Free tools

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17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in internal consulting

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills built in this role transfer well. They can lead to senior analytical or strategic roles in other large organisations, to external management consulting, or to operational leadership roles across different industries. Leading teams, using data to drive change, and shaping strategic decisions are skills used in many settings.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my Performance Analysis Manager plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.