United Kingdom · Operations · Director/VP (16-20 years)

Director of Operational Analytics

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 bandDirector/VP (16-20 years)
Reports toVP of Operations
UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP of Operations Data · Head of Operations Insights · Director of Business Performance (Operations)

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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 6 of 10 standards

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 4 of 10 standards

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

Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 10 standards

NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science) NOCN · Level 5 · covers 1 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 Analysis and Visualisation OTHM Level 7 Diploma in Data Science

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England

Data-led Decision Making Level 6 Award in Data-led Decision Making

Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

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

Automation Fluency building AI into how work runs

Systems Fluency seeing the whole picture

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Your Plan Illustration

Built for Director of Operational Analytics

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

Data Analysis and Visualisation OTHM Qualifications · covers 6 of 10 standards Level 7
Introduction to Data Science and Big Data NCC Education Limited · covers 4 of 10 standards Level 5
Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
Data-led Decision Making Institute of Sales Professionals · covers 1 of 10 standards Level 6
Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 10 standards Level 5

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 Director of Operational Analytics?

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

The new skill this role is being asked for

AI-Driven Decision Orchestration

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Automation Fluencybuilding AI into how work runs
Systems Fluencyseeing the whole picture

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 Director of Operational Analytics 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

This job shapes how an operations function runs, using data to guide decisions on supply chain and manufacturing processes. It means driving change across a whole business unit and influencing decisions that affect the bottom line by millions of pounds. It involves telling senior leaders what is really happening and what to do about it.

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

Determining when to migrate critical processes off Excel, designing department-wide templates, and providing strategic guidance on complex data manipulation challenges. You'll rarely be hands-on, but you'll know when it's being used effectively (or not).

SQL (PostgreSQL, MS SQL Server) Architect

Defining the strategic approach to operational data warehousing, establishing best practices for query optimisation, and overseeing the design of data marts for specific analytical needs. You'll be setting the standards for how your team interacts with our databases.

Power BI / Tableau (Enterprise Management) Strategic

Managing the enterprise BI environment (e.g., Power BI Premium capacity, Tableau Server), setting visualisation standards for executive dashboards, and championing data storytelling across the C-suite. You're ensuring our BI tools deliver consistent, reliable, and impactful insights at scale.

SAP S/4HANA / Oracle NetSuite (Data Strategy) Strategic

Acting as the key liaison between IT and Operations on ERP data strategy, influencing future module implementations, and ensuring data from these systems is accessible and accurate for strategic analytics. You'll understand the business logic behind transactions at an enterprise level.

Celonis / UiPath Process Mining (Enterprise Deployment) Expert/Strategic

Leading enterprise-wide process mining initiatives to identify multi-million pound inefficiencies, architecting the overall process intelligence strategy, and driving the adoption of process insights across all operational departments. You're using this to transform how we work.

Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Strategic

Championing the use of Python for advanced analytics, machine learning, and AI within the operations team. You'll be directing your team on where and how to apply these tools for maximum strategic impact, overseeing model development and deployment, and ensuring the technical roadmap aligns with business goals.

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 choice	Coming in	Where you are now	The step above
Operational Analytics Strategy & Roadmap	N/A	N/A	Define and own the entire multi-year strategy for operational analytics across the business unit, with C-suite and Board alignment.
Budget Allocation (Operational Analytics)	N/A	N/A	Full authority over a P&L of £2M-£10M+ for technology, personnel, and external services within your domain. Report to CFO/COO.
Organisational Design & Talent Strategy	N/A	N/A	Design the optimal structure for the operational analytics function, including hiring, promotions, and succession planning for 25-100+ individuals. Direct hiring authority for managers.
Major Technology Investment (Analytics)	N/A	N/A	Approve and champion investments in new BI platforms, process mining tools, or advanced analytics software, securing funding at the Board level.
Data Governance & Policy	N/A	N/A	Establish and enforce enterprise-wide data governance policies and quality standards for all operational data, ensuring regulatory compliance.

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.

P&L Impact from Operational Efficiencies

The direct financial savings or revenue gains driven by analytical insights and process improvements within Operations.

Target · Influence decisions leading to >£2M in annualized P&L improvement for the business unit.

Your team's analysis leads to a 10% reduction in logistics costs, saving £2.5M over the year, or a 5% increase in production throughput, adding £3M to the top line.

Overall Equipment Effectiveness (OEE) Improvement

The percentage increase in OEE across key manufacturing lines or operational assets, reflecting better availability, performance, and quality.

Target · Achieve a >5% year-on-year improvement in OEE across critical operational assets.

Through your team's predictive maintenance models and process optimisation, OEE on our main production line rises from 75% to 80%.

Supply Chain Resilience & Cost Optimisation

Reduction in supply chain disruptions (e.g., stockouts, delays) and optimisation of inventory holding costs, balanced with service levels.

Target · Reduce critical supply chain disruption incidents by 20% and achieve a 15% reduction in inventory holding costs without impacting customer service.

Your team's demand forecasting and network optimisation models prevent major stockouts during peak season, saving £1M in expedited shipping fees and lost sales.

Data-Driven Decision Adoption Rate

The percentage of key operational decisions (e.g., staffing, scheduling, capital investment) that are demonstrably informed by your team's analytical outputs.

Target · Increase the percentage of strategic operational decisions informed by analytics from 40% to 75% within 18 months.

After 12 months, 70% of new capital expenditure proposals in Operations cite specific analytical models or reports from your team as a primary justification.

Strategic Influence & Board Engagement

Your ability to influence C-suite and Board-level decisions through clear, concise, and compelling data storytelling, becoming a trusted advisor.

You're regularly invited to present directly to the Board on operational performance and strategic initiatives. The COO and CFO proactively seek your input before making major operational investments or changes. Your recommendations are consistently adopted at the highest levels.

Organisational Capability Building

Your success in building, mentoring, and retaining a high-performing operational analytics team, fostering a culture of continuous improvement and innovation.

Your team has a low attrition rate, high engagement scores, and a strong internal reputation for delivering impactful work. You've successfully developed and promoted multiple individuals into more senior roles. We see a clear pipeline of talent emerging from your function.

Cross-Functional Partnership

The effectiveness of your collaboration with other departments (e.g., Product, Finance, IT) to ensure data integrity, alignment on metrics, and integrated solutions.

You're seen as a vital partner by other department heads, not just a service provider. Joint projects with IT or Product are delivered smoothly, with shared understanding and accountability. There are clear, agreed-upon data definitions and reporting standards across functions.

Proactive Risk Identification

Your team's ability to identify potential operational risks (e.g., supply chain vulnerabilities, equipment failure, quality issues) *before* they become critical problems.

Your team regularly flags emerging risks with data-backed evidence, allowing leadership to take preventative action. We avoid significant operational incidents because of early warnings generated by your analytical models. You're building systems that anticipate problems, not just react to them.

7Would you like it

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

What people enjoy

Driving Large-Scale Business Transformation

You'll be leading initiatives that reshape how our entire Operations function operates, from supply chain optimisation to manufacturing efficiency. This means presenting your vision to the C-suite, securing multi-million pound budgets, and seeing your analytical strategies implemented across the business.

Leading the analytical workstream for a major factory automation project, where your team's models identify £5M in potential savings and you present these findings directly to the Board for approval.

Building and Empowering High-Performing Teams

A significant part of your role is recruiting top talent, mentoring your managers, and creating a culture where your team thrives, innovates, and delivers exceptional impact. You'll be shaping the careers of dozens of analysts.

Designing a new career progression framework for operational analysts, leading to a significant increase in team engagement and a reduction in attrition, with multiple internal promotions.

Influencing Executive & Board-Level Strategy

You won't just be providing reports; you'll be a key voice in strategic planning sessions, challenging assumptions, and guiding major investment decisions. Your insights will directly inform the company's long-term operational roadmap.

Presenting quarterly operational performance and future strategic recommendations directly to the Board of Directors, with your insights driving a key agenda item for the next quarter's meeting.

What frustrates people

Strategic initiatives getting stalled due to internal politics or lack of cross-functional buy-in.
Dealing with legacy systems and data quality issues that hinder advanced analytics at scale.
The constant battle for resources and budget to invest in new tools or expand the team.
Having to simplify complex analytical findings for a C-suite audience who may not grasp the nuances.
Seeing brilliant analytical models or process improvements fail to get adopted due to resistance from operational teams.
The pressure of being accountable for multi-million pound P&L impacts based on your team's forecasts and recommendations.

What this role does not give you

A purely technical, hands-on coding role—you'll be leading, not primarily coding.
A quiet, solitary environment—expect a lot of meetings, presentations, and stakeholder management.
Instant gratification on every project—strategic change takes time, patience, and persistence.
A role where all data is clean and readily available—you'll be defining data strategy, but the underlying data will still be a challenge.
A role without significant political navigation—you'll need to be adept at influencing and managing relationships.

8Who you work with

This role shapes the entire business unit's strategy and market position. Your analytical insights will drive multi-year transformation programmes, influence capital expenditure decisions, and directly impact our P&L. You're not just supporting decisions; you're driving them at the highest level, making sure our Operations are as effective and efficient as possible, which ultimately affects our competitiveness and shareholder value.

Inside the business

C-Suite (COO, CFO, CEO)
Board of Directors
Heads of Manufacturing, Logistics, and Supply Chain
Product Development Leadership
Finance Leadership

Outside the business

Major Strategic Partners (e.g., key suppliers, logistics providers)
Industry Bodies and Regulators
Investors and Analysts

9What you need before you start

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

A proven track record of 15+ years in operational data analytics, with at least 5 years in a senior leadership role managing large teams (20+ people) and complex analytical programmes.
Demonstrable experience in defining and executing an enterprise-level data and analytics strategy that has delivered significant, measurable business impact (e.g., £multi-million P&L improvements).
Expertise in at least two major operational domains (e.g., manufacturing, supply chain, logistics, field service) with a deep understanding of their specific data challenges and opportunities.
Extensive experience presenting to and influencing C-suite executives and Board members on strategic analytical initiatives.
A Master's degree in a quantitative field (e.g., Operations Research, Statistics, Computer Science, Engineering) or an MBA with a strong analytical focus, or equivalent professional experience.

10What to practise next

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

Digital Twin & Simulation Architectures

Digital Twins are moving from concept to reality, offering real-time virtual replicas of physical assets and processes. As Operations become more complex, the ability to simulate changes, predict failures, and optimise performance in a virtual environment before deploying them physically will be a massive competitive differentiator. You'll need to understand how to architect these systems and integrate them into our decision-making.

Real-time Data Integration (IoT, SCADA) · Physics-Based & Data-Driven Modelling · Simulation Optimisation · Visualisation & Interaction for Digital Twins

This quarter: Commission your team to research leading digital twin platforms and use cases in our industry, identifying potential pilot projects.
Next 6 months: Work with IT to define the data infrastructure requirements for a digital twin pilot, focusing on real-time data ingestion and storage.
Next 12 months: Oversee the development and deployment of a small-scale digital twin for a critical operational asset or process, demonstrating ROI.
Next 18 months: Present a strategic roadmap for scaling digital twin technology across the business unit to the C-suite, outlining investment and expected benefits.

Quick win: Start by identifying a single, high-value operational asset (e.g., a specific machine, a small warehouse process) where a basic digital twin could provide immediate insights into performance or potential failures. Use existing data to build a simple simulation model.

11Staying current once you are in

What people here do to keep up

Regular attendance and speaking engagements at leading industry conferences (e.g., Gartner Supply Chain Symposium, INFORMS Annual Meeting, World Congress on Operations Management).
Participation in executive education programmes from top-tier business schools focused on strategic leadership, digital transformation, or advanced analytics.
Active membership and leadership roles in professional organisations related to Operations Research, Supply Chain Management, or Data Science.
Mentoring emerging leaders within the organisation and externally, sharing your expertise and building your network.
Publishing thought leadership articles or white papers on innovative applications of data analytics in operations.

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.

AI-Driven Decision Orchestration

AI isn't just for automating tasks anymore; it's becoming central to complex decision-making. As a Director, you'll need to orchestrate how AI models inform and integrate into our strategic operational decisions, moving beyond simple dashboards to truly intelligent operations. Competitors are already building 'AI control towers' for their supply chains, and we need to be leading this charge.

Reinforcement Learning for Optimisation
Explainable AI (XAI) in Operations
AI Ethics & Governance
Human-in-the-Loop AI Systems

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Strategic Process Optimisation (Lean, Six Sigma, Process Mining)
Advanced Forecasting & Simulation Modelling
Data Architecture & Governance for Operations
Operations Research & Optimisation

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
Lead / Staff Operational Data Analyst (Internal Promotion)
3-5 years as a Lead/Staff Analyst
Skills to master
- Moving from architecting solutions to defining strategic direction, managing multiple workstreams, and building a strong leadership presence. You'd need to demonstrate the ability to influence at the VP level and beyond.
You're ready to move on when
- Successfully led 3+ multi-million pound impact analytical programmes end-to-end.
- Consistently mentored and developed senior analysts into lead roles.
- Presented strategic recommendations directly to C-suite and gained buy-in.
- Managed a significant budget (£500K+) and achieved targets.
2
Head of Analytics (from another business unit)
5-8 years in a similar leadership role
Skills to master
- Adapting your analytical leadership style to the specific nuances of Operations, understanding our unique data challenges and business processes. You'd need to quickly build credibility within the Operations leadership team.
You're ready to move on when
- Proven track record of building and leading high-performing analytics teams in a complex domain.
- Demonstrated ability to drive significant P&L impact through data in a previous role.
- Strong understanding of enterprise data architecture and governance.
- Exceptional stakeholder management and executive influence skills.
3
Management Consultant (Specialising in Operations/Data)
8-12 years in top-tier consulting, with 3-5 years at Principal/Partner level
Skills to master
- Transitioning from advising to direct ownership and execution, building internal capabilities rather than just delivering projects. You'd need to adapt to corporate politics and long-term organisational development.
You're ready to move on when
- Extensive experience leading large-scale operational transformation programmes for multiple clients.
- Deep expertise in data strategy, advanced analytics, and process optimisation.
- Proven ability to build strong client relationships and drive change through influence.
- A desire to build a lasting legacy within a single organisation.

15Where this role leads

The long view: This role can lead to senior executive positions such as Chief Digital Officer, Chief Strategy Officer, or CEO of a smaller business unit.

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 Director of Operational Analytics is actually changing.

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 Analysis and Visualisation, worked against Director of Operational Analytics.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Operational Analytics

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
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 Director of Operational Analytics plan, free

See Your Progress Grow Illustration

Director of Operational Analytics

Strategic Process Optimisation (Lean, Six Sigma, Process Mining)
Advanced Forecasting & Simulation Modelling
Data Architecture & Governance for Operations
Operations Research & Optimisation

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

Director of Operational Analytics is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

VP of Operations Strategy & Analytics
3-5 years in this Director role

From business unit strategy to enterprise-wide strategy, influencing the entire company's operational footprint and market positioning.
- Advanced market analysis and competitive intelligence integration.
- Global regulatory compliance and risk management at an enterprise scale.
- Strategic technology roadmap definition for the entire Operations function.
Chief Operations Officer (COO)
5-8 years from this Director role (often via VP of Operations)

Full accountability for all operational functions across the entire enterprise, including P&L, strategic direction, and market performance.
- Holistic enterprise-wide operational design and execution.
- Global supply chain and manufacturing network optimisation.
- Crisis management and business continuity planning at the highest level.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, as a Director, your time is precious. You're juggling strategic planning, team leadership, and executive presentations. AI isn't here to replace you; it's here to give you superpowers, freeing you from the mundane and amplifying your strategic impact.

Imagine having a personal AI assistant that can summarise complex reports, draft board presentations, or even help your team pinpoint root causes faster. This isn't science fiction; it's how leading Directors are already working. We're investing heavily in AI tools to make our Operations Analytics team the most productive and insightful in the industry. Here's a peek at how AI will transform your day-to-day and elevate your strategic output.

Strategic Forecasting & Scenario Planning

Use AI models to generate highly accurate demand forecasts, predict supply chain disruptions, and run complex 'what-if' scenarios in minutes. This means you can present robust, data-backed strategic plans to the Board, showing the impact of various decisions on the P&L and operational resilience.

Executive Insight Synthesis

Feed an AI all your team's reports, market intelligence, and internal data. Ask it to synthesise key trends, identify strategic opportunities, and draft concise executive summaries for your weekly operational review or quarterly board deck. It's like having a super-smart research assistant on tap, allowing you to focus on interpretation and decision-making.

Team Productivity & Skill Development

Implement AI-powered coding assistants (like GitHub Copilot) for your team, automating routine script generation and debugging. Use AI-driven learning platforms to quickly upskill your team on new analytical techniques or tools, ensuring your function stays at the forefront of operational analytics capabilities. This means your team spends less time on grunt work and more time on high-value strategic analysis.

Board-Ready Communication Drafting

Provide an AI with your key data points, strategic recommendations, and target audience (e.g., 'Board of Directors'). It can then draft compelling narratives, presentation outlines, and even Q&A preparation notes, ensuring your strategic messages are clear, impactful, and persuasive. This significantly reduces the time spent on report writing and presentation prep, letting you focus on the substance.

Common questions

How do you become a Director of Operational Analytics?

Common routes in include Lead / Staff Operational Data Analyst (Internal Promotion) (3-5 years as a Lead/Staff Analyst), Head of Analytics (from another business unit) (5-8 years in a similar leadership role) and Management Consultant (Specialising in Operations/Data) (8-12 years in top-tier consulting, with 3-5 years at Principal/Partner level). Times vary with prior experience.

Where can a Director of Operational Analytics progress to?

This role can lead on to VP of Operations Strategy & Analytics (3-5 years in this Director role) and Chief Operations Officer (COO) (5-8 years from this Director role (often via VP of Operations)), depending on the skills you build.

What new skills matter most for a Director of Operational Analytics?

Increasingly, AI-Driven Decision Orchestration. These are the skills our record of this role lists as growing.

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 Director of Operational Analytics 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.

Director of Operational Analytics

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director of Operational Analytics?

What's rising in its place

AI-Driven Decision Orchestration

Skills this role draws on

Technical

How you actually get there, here

Lead / Staff Operational Data Analyst (Internal Promotion)

Head of Analytics (from another business unit)

Management Consultant (Specialising in Operations/Data)

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

VP of Operations Strategy & Analytics

Chief Operations Officer (COO)

Where AI is starting to help

Strategic Forecasting & Scenario Planning

Executive Insight Synthesis

Team Productivity & Skill Development

Board-Ready Communication Drafting

Common questions

Want a read on where you stand?