Junior Sustainability Analyst

Role Purpose & Context

Role Summary

The Junior Sustainability Analyst is here to make sure our sustainability data is accurate and ready for prime time. You'll spend your days gathering all sorts of information, from energy bills to waste manifests, making sure it's all correct and in the right format. This role sits right at the start of our reporting process, meaning you're the first line of defence against bad data. When you do this job well, our reports are reliable, our claims are credible, and we avoid those awkward questions from investors or regulators. If the data's a mess, well, then everything else falls apart, and we look a bit silly, frankly. The tricky part is often just getting the right information from busy people across different countries. The big reward? You'll learn the ins and outs of corporate sustainability from the ground up, seeing how every piece of data contributes to a much bigger picture.

Reporting Structure

• Reports to: International Sustainability Coordinator
• Direct reports:
• Matrix relationships: Entry-Level ESG Assistant, Sustainability Data Support, Compliance & Sustainability Intern (post-grad), Environmental Reporting Associate,

Key Stakeholders

Internal:

• International Sustainability Coordinator (your direct manager)
• Site-level Operations Managers (for data collection)
• Finance Teams (for utility bill information)
• Health & Safety Teams (for incident data)

External:

• None directly, but your work supports reports seen by investors and regulators

Organisational Impact

Scope: Your meticulous data work directly supports the credibility of our annual sustainability reports and ensures we're compliant with various environmental regulations. Get it right, and we maintain trust; get it wrong, and we face reputational damage or even fines. It's a bit like being the unsung hero who makes sure the foundations are solid before the building goes up.

Performance Metrics

Quantitative Metrics

1. Metric: Data Accuracy Rate
2. Desc: The percentage of data points you've entered or processed that pass internal verification checks.
3. Target: >99% accuracy on all assigned data entry and validation tasks.
4. Freq: Monthly, through spot checks and internal audit trails.
5. Example: You input 500 data points from utility bills; only 2 had errors found during the Coordinator's review. That's a 99.6% accuracy rate.
6. Metric: On-Time Data Submission
7. Desc: How consistently you collect and submit required data from your assigned sites by internal deadlines.
8. Target: 100% of data from assigned sites collected by internal deadlines, usually within 24 hours of receipt.
9. Freq: Weekly, tracked against the data collection calendar.
10. Example: All 15 utility bills for your allocated European sites were uploaded and processed by the 5th of the month, as per the schedule.
11. Metric: Query Resolution Time
12. Desc: The speed at which you respond to and resolve routine data queries from site contacts or your manager.
13. Target: Resolve 90% of site-level data queries within 48 hours of receiving them.
14. Freq: Monthly, based on ticketing system or email response times.
15. Example: A site manager asks why their water usage looks odd; you investigate the data, find a meter reading error, and reply with the corrected figure within 24 hours.
16. Metric: Training Module Completion
17. Desc: The timely completion of mandatory internal training programmes related to sustainability frameworks or data tools.
18. Target: Complete all assigned training modules within the first 3 months, achieving a pass rate of 85% or higher.
19. Freq: Quarterly, tracked via our learning management system.
20. Example: You've finished the 'Introduction to GHG Protocol' and 'Data Privacy Essentials' courses, scoring 90% on both assessments, all within your first 8 weeks.

Qualitative Metrics

1. Metric: Proactive Problem Spotting
2. Desc: Not just finding errors, but flagging potential issues or inconsistencies in data before they become bigger problems.
3. Evidence: You flag an unusual spike in energy consumption for a particular site, prompting an investigation. You notice a data field is consistently blank across several sites and ask why. You suggest a small improvement to a data collection template.
4. Metric: Learning Agility
5. Desc: How quickly you pick up new tools, processes, and sustainability concepts.
6. Evidence: You're asking smart questions after training sessions. You can independently apply a new data validation rule after being shown once. You're keen to take on slightly more complex tasks as you gain experience.
7. Metric: Reliable Support
8. Desc: Your manager and team can count on you to deliver assigned tasks accurately and on time, without constant prompting.
9. Evidence: You consistently meet deadlines for data collection. Your manager trusts you with routine tasks without needing to double-check every step. You follow up on outstanding items without being asked.
10. Metric: Clear Communication
11. Desc: Your ability to communicate clearly and concisely, especially when requesting information or reporting issues.
12. Evidence: Your emails to site contacts are easy to understand, reducing back-and-forth. You can explain a data discrepancy simply to your manager. You ask clarifying questions rather than making assumptions.

Primary Traits

• Trait: Tenacious Investigator (at a junior level)
• Manifestation: You're the person who won't just accept 'I don't have that' from a site contact; you'll politely follow up, suggesting where they might find the information. You'll compare this month's energy bill to last month's and notice if a number looks completely off. You're happy to dig through spreadsheets, looking for the tiny detail that doesn't quite add up.
• Benefit: Sustainability data is rarely handed to you on a silver platter; it's often buried or inconsistent. If you don't have that drive to dig a bit deeper, we'll end up with incomplete or inaccurate data, which can seriously undermine our reports and our reputation. You're the first line of defence, really.
• Trait: Meticulous Detail-Checker
• Manifestation: You're the one who spots the extra zero in a reported waste figure or the incorrect unit conversion before anyone else does. You'll double-check your own work, probably a few times, because you know how easy it is for a small typo to become a big problem later on. You understand that a decimal point in the wrong place can change a whole story.
• Benefit: Even a tiny error in our raw data can snowball into a massive headache when it comes to external reporting or audits. We're talking about numbers that go to investors and regulators. Your job is to make sure those numbers are as close to perfect as humanly possible. It's about protecting the company's integrity and avoiding embarrassing corrections.
• Trait: Patient & Persistent Communicator
• Manifestation: You're good at sending polite, clear emails to busy people in different countries, asking for data, and then following up without being annoying. You understand that people have other priorities, so you're happy to remind them gently. You can explain what you need in simple terms, even if English isn't their first language.
• Benefit: A huge part of this role involves getting information from people who aren't in your immediate team and who might not see sustainability as their top priority. If you can't communicate effectively and patiently, you simply won't get the data we need, and our reports will suffer. It's about building those early relationships.

Supporting Traits

• Trait: Organised & Methodical
• Desc: You like having a clear process and you stick to it. You're good at managing your own workload, keeping track of what's outstanding, and hitting deadlines. Think of it as keeping your digital desk tidy.
• Trait: Curious Learner
• Desc: You're genuinely interested in how things work and why we do them a certain way. You'll ask questions about the 'bigger picture' of sustainability reporting, not just how to fill in a spreadsheet. You're keen to understand the 'why' behind the 'what'.
• Trait: Culturally Aware
• Desc: You recognise that different cultures might approach requests or deadlines differently. You're sensitive to those nuances when communicating with our global sites, adjusting your approach slightly to get the best results.

Primary Motivators

1. Motivator: Making a Tangible Difference (behind the scenes)
2. Daily: You'll feel good knowing that your accurate data entry directly contributes to a credible sustainability report that helps the company make better environmental decisions. You're not just pushing papers; you're building the foundation for real change.
3. Motivator: Mastering New Skills & Knowledge
4. Daily: You'll be constantly learning about new sustainability frameworks (GRI, SASB), data management tools, and the operational realities of a global business. You're keen to become an expert in data collection and verification.
5. Motivator: Working in a Structured, Supportive Environment
6. Daily: You'll appreciate clear instructions, regular check-ins with your manager, and the chance to ask questions when you're stuck. You thrive when there's a process to follow and a team to back you up.

Potential Demotivators

Honestly, this role involves a lot of repetitive tasks, especially data entry and chasing people for information. If you need constant novelty or get frustrated by chasing the same data point multiple times, you might find parts of it a bit tedious. You won't be setting strategy or leading big projects straight away; your focus is on execution and accuracy. If you need immediate, high-level impact, this might not be the right fit just yet.

Common Frustrations

1. The 'data janitor' feeling: spending hours cleaning messy spreadsheets from different sites.
2. Constant follow-ups: having to send three reminders to get a utility bill from a busy plant manager.
3. Inconsistent data formats: receiving energy data in kWh from one site, MWh from another, and GJ from a third.
4. The slow pace of change: seeing issues but not having the authority to fix them directly.
5. Dealing with legacy systems: having to manually extract data from older systems that don't talk to each other.

What Role Doesn't Offer

1. Immediate strategic decision-making authority.
2. Direct management of a team or budget.
3. A role where every day is completely different and unpredictable.
4. The ability to unilaterally implement new sustainability initiatives across the business.

ADHD Positives

1. The need for meticulous detail and spotting anomalies can be a strength for those with hyperfocus.
2. Clear, structured tasks with defined outcomes can provide a sense of accomplishment and clarity.
3. The investigative aspect of chasing data can be engaging and stimulating.

ADHD Challenges and Accommodations

1. Repetitive data entry might be challenging; we can explore tools for automation or task rotation.
2. Maintaining focus on long, complex documents might require breaking them into smaller chunks.
3. We can offer noise-cancelling headphones for focused work and regular short breaks to reset.

Dyslexia Positives

1. Strong visual-spatial reasoning can be great for spotting patterns or anomalies in data sets.
2. Often excellent problem-solvers, which is key for figuring out data discrepancies.
3. The focus on numbers and structured data rather than heavy text can be a good fit.

Dyslexia Challenges and Accommodations

1. Proofreading reports and ensuring perfect grammar might require extra time or use of assistive tech (e.g., Grammarly).
2. We can provide documents in dyslexia-friendly fonts and formats, and use screen readers if preferred.
3. Verbal communication for complex instructions or feedback can be prioritised over written.

Autism Positives

1. The emphasis on precision, logic, and adherence to processes aligns well with typical autistic strengths.
2. The role involves deep dives into data, which can be highly engaging.
3. Clear expectations and structured tasks provide a predictable work environment.

Autism Challenges and Accommodations

1. Navigating social nuances in cross-cultural communication for data requests might be tricky; we'll offer clear templates and guidance.
2. Unexpected changes in data requirements could be unsettling; we'll aim for clear, early communication.
3. We offer a quiet workspace, clear communication of expectations, and a consistent routine.

Key Responsibilities

Experience Levels Responsibilities

1. Level: Entry Level (0-2 years)
2. Responsibilities: Collect environmental data: Gather monthly utility bills (electricity, gas, water) and waste manifests from assigned global sites, making sure you get everything by the deadlines.
3. Input and validate data: Accurately enter collected data into our EHS & Sustainability Management platform (e.g., Enablon or Cority), double-checking for errors and inconsistencies.
4. Support data quality checks: Help your Coordinator review data for anomalies, flag anything that looks suspicious, and assist in investigating discrepancies.
5. Maintain documentation: Keep records of data sources, collection methods, and any correspondence with sites organised and up-to-date, following our templates.
6. Assist with basic reporting: Help prepare simple data summaries or charts for internal use, usually by pulling information from existing dashboards.
7. Learn sustainability frameworks: Spend time understanding the basics of GHG Protocol and key reporting standards like GRI, so you know why we're collecting certain data.
8. Respond to routine queries: Answer straightforward questions from site contacts about data requests or basic reporting requirements, escalating anything complex to your Coordinator.
9. Supervision: You'll have daily check-ins with your International Sustainability Coordinator, especially in your first few months. They'll review all your work before it goes anywhere, offering guidance and feedback. Think of it as a constant learning loop.
10. Decision: Honestly, at this level, you won't be making independent decisions. All your work, from data entry to communication with sites, will be reviewed. If you spot something unusual or aren't sure how to proceed, you'll escalate it to your Coordinator. It's about learning the ropes safely.
11. Success: You're successful when your assigned data streams are consistently accurate and submitted on time, and you're actively learning the tools and processes. Your Coordinator should feel confident that you're a reliable pair of hands for routine tasks.

Decision-Making Authority

• Type: Data Entry & Validation
• Entry: Execute according to clear guidelines; flag all anomalies to Coordinator.
• Mid: Independently validate routine data; propose solutions for minor inconsistencies.
• Senior: Define data validation rules; make technical decisions on data quality processes.
• Type: Communication with Site Contacts
• Entry: Draft emails using templates; all outbound communication reviewed by Coordinator.
• Mid: Independently communicate routine data requests and follow-ups.
• Senior: Develop communication strategies for complex data initiatives; train others.
• Type: Process Improvement
• Entry: Suggest minor improvements to existing processes to Coordinator.
• Mid: Propose and implement small-scale process efficiencies within your scope.
• Senior: Design and lead significant process improvements for data collection workflows.
• Type: Tool Selection/Configuration
• Entry: No authority; use assigned tools as instructed.
• Mid: Suggest minor configuration changes within existing platforms.
• Senior: Make technical decisions on platform configuration; evaluate new tools.

Competency Requirements

Foundation Skills (Transferable)

These are the fundamental skills you'll need to hit the ground running. They're not just about technical ability; they're about how you approach your work and interact with others. Think of them as the bedrock for everything else you'll learn.

• Category: Communication & Collaboration
• Skills: Clear Written Communication: You can write concise, easy-to-understand emails and notes, especially when asking for information or documenting processes. No corporate jargon, just plain English.
• Active Listening: You pay attention when your manager explains a task or when a site contact describes a data issue, making sure you've understood correctly before acting.
• Teamwork: You're happy to support your colleagues, share information, and ask for help when you need it. We're all in this together, after all.
• Category: Problem Solving & Analysis
• Skills: Basic Data Interpretation: You can look at a set of numbers and spot if something looks obviously out of place or inconsistent. You're not expected to be an expert, but you can identify red flags.
• Troubleshooting: When something goes wrong (e.g., data won't upload), you can follow a simple process to figure out what's happening before asking for help.
• Attention to Detail: This is crucial. You're the person who catches the small error in a spreadsheet that others might miss. It's about meticulousness in everything you do.
• Category: Organisation & Execution
• Skills: Time Management: You can manage your daily tasks, prioritise what's urgent, and meet deadlines for data collection and entry.
• Organisational Skills: You keep your files tidy, your emails categorised, and your outstanding tasks tracked. A messy digital workspace leads to missed information.
• Following Procedures: You can read and follow established guidelines and processes for data collection, validation, and documentation without cutting corners.

Functional Skills (Role-Specific Technical)

These are the more specific skills and tools you'll be using day-to-day. You don't need to be an expert in everything, but a solid foundation will help you learn quickly.

Technical Competencies

• Skill: Sustainability Reporting Frameworks (Basic)
• Desc: You'll need to grasp the basics of what frameworks like GRI (Global Reporting Initiative) and SASB (Sustainability Accounting Standards Board) are, and why we collect certain data for them. You won't be writing the reports, but you'll understand their purpose.
• Level: Basic
• Skill: Greenhouse Gas (GHG) Protocol & Carbon Accounting (Basic)
• Desc: Understand what Scope 1, 2, and 3 emissions are at a high level. You'll be collecting the raw data that feeds into these calculations, so knowing the categories helps you understand what you're looking for.
• Level: Basic
• Skill: Materiality Assessment (Awareness)
• Desc: You'll learn what a materiality assessment is and why it's important for identifying key ESG topics. You won't be leading one, but you'll understand its role in our strategy.
• Level: Basic
• Skill: Environmental & Safety Management Systems (Awareness)
• Desc: A basic understanding of ISO 14001 (Environmental) and ISO 45001 (Health & Safety) standards will help you understand the context of some data requests and why certain operational data is important.
• Level: Basic

Digital Tools

• Tool: Microsoft Excel (Power Query, Pivot Tables)
• Level: Intermediate
• Usage: You'll use Excel daily to clean, sort, and aggregate raw data from various sources. You'll be comfortable with basic formulas, pivot tables, and maybe even start dabbling with Power Query for simple data transformations.
• Tool: EHS & Sustainability Data Management Platforms (e.g., Enablon, Cority, Intelex)
• Level: Intermediate
• Usage: You'll be accurately entering, validating, and extracting data from these platforms for specific sites or regions. You'll learn to navigate the system and run pre-built reports.
• Tool: Microsoft PowerPoint
• Level: Basic
• Usage: You'll occasionally help prepare simple slides for internal updates, perhaps adding charts or data summaries that you've pulled from Excel or our sustainability platform.
• Tool: Microsoft Outlook & Teams
• Level: Intermediate
• Usage: Essential for all internal and external communication, scheduling meetings, and collaborating with your team and global site contacts.

Industry Knowledge

• Area: Global Operations & Supply Chains (Basic)
• Desc: An awareness of how a global company operates, understanding that data comes from different countries with varying regulations and operational realities. You'll learn about the complexities of supply chain sustainability.
• Area: Compliance & Regulatory Landscape (Basic)
• Desc: A foundational understanding that our sustainability efforts are not just 'nice-to-haves' but are often driven by legal and regulatory requirements, especially in the CQHS sector.

Regulatory Compliance Regulations

• Reg: Environmental Permitting Regulations (UK/EU)
• Usage: Understand that our sites operate under specific environmental permits and that the data you collect (e.g., waste volumes, emissions) feeds into compliance reporting for these permits.
• Reg: Waste Electrical and Electronic Equipment (WEEE) Directive (EU)
• Usage: Recognise that certain waste streams have specific reporting and recycling obligations, and your data collection supports our adherence to these.
• Reg: Health & Safety at Work Act (UK) / OSHA (US equivalent - awareness)
• Usage: Understand the basic principles of workplace safety and how incident data (which you might help collect) contributes to overall compliance and risk management.

Essential Prerequisites

• A degree in Environmental Science, Sustainability, Business, or a related field (or equivalent practical experience).
• Demonstrable experience with data entry and management, ideally in a professional or academic setting.
• Solid proficiency with Microsoft Excel (pivot tables, basic formulas).
• Excellent written and verbal communication skills in English.
• A genuine interest in sustainability and environmental issues, backed by some relevant coursework or volunteer experience.

Career Pathway Context

We're not expecting you to be a seasoned expert on day one. What we really need is someone with a strong foundational understanding of data, a keen eye for detail, and a real eagerness to learn the ropes of corporate sustainability. If you've got that, we can teach you the rest.

Qualifications & Credentials

Emerging Foundation Skills

• Skill: Enhanced Data Visualisation for Insights
• Why: Simply collecting data isn't enough anymore; we need to tell a story with it. Being able to quickly turn raw numbers into understandable charts and dashboards helps us spot trends and communicate issues faster. It's moving beyond just tables.
• Concepts: [{'concept_name': 'Choosing the right chart type for your data (e.g.,', 'description': 'Choosing the right chart type for your data (e.g., bar vs. line vs. pie).'}, {'concept_name': 'Principles of clear and concise data labelling.', 'description': 'Principles of clear and concise data labelling.'}, {'concept_name': 'Using colour effectively to highlight key informat', 'description': 'Using colour effectively to highlight key information.'}, {'concept_name': 'Designing dashboards for different audiences (e.g.', 'description': 'Designing dashboards for different audiences (e.g., site manager vs. executive).'}, {'concept_name': 'Interactive elements in tools like Power BI or Tab', 'description': 'Interactive elements in tools like Power BI or Tableau.'}]
• Prepare: This month: Experiment with different chart types in Excel for your current data sets.
• Month 2: Take an online tutorial on Power BI or Tableau basics, focusing on dashboard creation.
• Month 3: Try to build one simple, interactive dashboard for your Coordinator on a specific data stream.
• Month 4: Get feedback on your visualisations and iterate.
• QuickWin: Start making your internal data summaries more visual. Instead of just a table, add a simple bar chart showing monthly energy consumption trends. It'll make your work more impactful immediately.

Advancing Technical Skills

• Skill: Advanced EHS & Sustainability Platform Configuration
• Why: As you become more familiar with our sustainability platform (e.g., Enablon), you'll need to understand how to do more than just enter data. Being able to tweak data collection templates or pull specific reports will make you much more self-sufficient and valuable.
• Concepts: [{'concept_name': 'Understanding data hierarchies within the platform', 'description': 'Understanding data hierarchies within the platform (e.g., site > department > asset).'}, {'concept_name': 'Configuring custom data fields and validation rule', 'description': 'Configuring custom data fields and validation rules.'}, {'concept_name': 'Building and modifying basic report templates.', 'description': 'Building and modifying basic report templates.'}, {'concept_name': 'Managing user permissions for site-level access.', 'description': 'Managing user permissions for site-level access.'}, {'concept_name': 'Troubleshooting common platform errors.', 'description': 'Troubleshooting common platform errors.'}]
• Prepare: This month: Ask your Coordinator to walk you through how a data collection template is built in the platform.
• Month 2: Shadow your Coordinator when they're configuring a new report or making changes.
• Month 3: Take on a small task to modify an existing report or template under supervision.
• Month 4: Complete any vendor-provided online training for platform administrators.
• QuickWin: Offer to help your Coordinator with any small configuration tasks, even if it's just updating a dropdown list. Show initiative in learning the 'admin' side of the platform.
• Skill: Basic Life Cycle Assessment (LCA) Data Input & Interpretation
• Why: Understanding the environmental impact of our products is becoming increasingly important. While you won't be building full LCA models, knowing how to input data and interpret basic results will give you a crucial skill for future roles.
• Concepts: [{'concept_name': "What is a product's 'life cycle' (cradle-to-grave)", 'description': "What is a product's 'life cycle' (cradle-to-grave)?"}, {'concept_name': 'Key environmental impact categories (e.g., carbon ', 'description': 'Key environmental impact categories (e.g., carbon footprint, water scarcity).'}, {'concept_name': 'Understanding the concept of functional unit.', 'description': 'Understanding the concept of functional unit.'}, {'concept_name': 'How to input basic inventory data into an LCA tool', 'description': 'How to input basic inventory data into an LCA tool (e.g., SimaPro or OpenLCA).'}, {'concept_name': "Interpreting basic 'hotspot' analysis results.", 'description': "Interpreting basic 'hotspot' analysis results."}]
• Prepare: This month: Read an introductory guide to LCA methodology (ISO 14040/14044).
• Month 2: Explore a free LCA software like OpenLCA and try to run a simple demo model.
• Month 3: Ask if you can assist a more senior team member with data input for an existing LCA project.
• Month 4: Discuss with your Coordinator how LCA insights are used in our business.
• QuickWin: Find and read a case study of an LCA for a product similar to ours. Start to understand the language and the types of data that go into it.

Education Requirements

• Level: Minimum
• Req: A Bachelor's degree (or equivalent OFQUAL Level 6 qualification) in Environmental Science, Sustainability, Geography, Business, or a related analytical field.
• Alts: We're open to candidates with a strong vocational background (e.g., a Level 4/5 apprenticeship) combined with 2-3 years of relevant professional experience in data management or environmental compliance.
• Level: Preferred
• Req: A Master's degree in a sustainability-related discipline, or a Bachelor's with a strong focus on quantitative analysis.
• Alts: N/A

Experience Requirements

We're looking for someone with 0-2 years of experience. This could be from a previous internship, a graduate role, or even relevant project work during your degree. The key is that you've had some exposure to collecting, organising, or analysing data, ideally in an environmental or compliance context. We're not expecting you to be an expert, but you should know your way around a spreadsheet and understand the importance of accuracy.

Preferred Certifications

• Cert: IEMA Foundation Certificate in Environmental Management
• Prod: Institute of Environmental Management & Assessment (IEMA)
• Usage: Shows a foundational understanding of environmental management principles, which is highly relevant to our CQHS department.
• Cert: GHG Protocol Training (e.g., from WRI/WBCSD)
• Prod: World Resources Institute (WRI) / World Business Council for Sustainable Development (WBCSD)
• Usage: Demonstrates a basic grasp of carbon accounting, which is a core part of our sustainability reporting.

Recommended Activities

• Attending webinars or online courses on specific sustainability reporting frameworks (e.g., GRI, SASB).
• Joining relevant professional bodies like IEMA or the Energy Institute.
• Reading industry publications and news to stay updated on environmental regulations and best practices.
• Participating in internal training sessions on our EHS & Sustainability Management platforms.

Career Progression Pathways

Entry Paths to This Role

• Path: Graduate Sustainability Programme
• Time: 1-2 years
• Path: Environmental or Compliance Internship (leading to full-time)
• Time: 6-12 months internship + 1 year in role
• Path: Data Entry or Administrative Role (with environmental focus)
• Time: 1-2 years in previous role + 1 year in current role

Career Progression From This Role

• Pathway: International Sustainability Coordinator (Level 002)
• Time: 2-3 years in the Junior Analyst role

Long Term Vision Potential Roles

• Title: Senior Sustainability Specialist (Level 003)
• Time: 5-8 years from entry
• Title: Lead Sustainability Strategist (Level 004)
• Time: 8-12 years from entry
• Title: Sustainability Manager (Level 005)
• Time: 12-16 years from entry

How Zavmo Delivers This Role's Development

DISCOVER Phase: Skills Gap Analysis

Zavmo maps your current competencies against all requirements in this job description through conversational assessment. We evaluate your foundation skills (communication, strategic thinking), functional skills (CRM expertise, negotiation), and readiness for career progression.

Output: Personalised skills gap heat map showing strengths and priorities, estimated time to competency, neurodiversity accommodations.

DISCUSS Phase: Personalised Learning Pathway

Based on your DISCOVER results, Zavmo creates a personalised learning plan prioritised by impact: foundation skills first, then functional skills. We adapt to your learning style, pace, and neurodiversity needs (ADHD, dyslexia, autism).

Output: Week-by-week schedule, each module linked to specific job responsibilities, checkpoints and milestones.

DELIVER Phase: Conversational Learning

Learn through conversation, not boring modules. Zavmo uses 10 conversation types (Socratic dialogue, role-play, coaching, case studies) to build competence. Practice difficult QBR presentations, negotiate tough renewals, and handle churn conversations in a safe AI environment before facing real clients.

Example: "For 'Stakeholder Mapping', Zavmo will guide you through analysing a complex enterprise account, identifying key decision-makers, and building an engagement strategy."

DEMONSTRATE Phase: Competency Assessment

Zavmo automatically builds your evidence portfolio as you learn. Every conversation, practice scenario, and application example is captured and mapped to NOS performance criteria. When ready, your portfolio supports OFQUAL qualification claims and demonstrates competence to employers.

Output: Competency matrix, evidence portfolio (downloadable), qualification readiness, career progression score.