Data and Systems Analyst

About Diggy

Diggy is one system for the whole field operation: production, machines, fuel, maintenance, parts and people. You get the answer straight away, with its source, so you can act before the money is spent. Mining is our main sector, and we also work in other heavy industries: construction and infrastructure, and oil and gas. Diggy was built around AI from the start, by Cambridge engineers. It works across everything that is connected, which is why the answer comes straight away.

The role at a glance

• Dubai. Full time, in the office at first, then hybrid once you're settled in.
• At least two years of corporate experience. This is not a graduate role.
• A university degree.

About the role

We need someone to find data and system problems early, follow them through to a fix, and improve how we stop them happening again.

Your work combines checking customer accounts and systems, investigating problems, contacting customers, training users and improving our processes. You will make sure data arrives every day, that it is accurate and consistent, and that customers use Diggy correctly.

You will sit with the founders in Dubai and report to them. You will work closely with customers, our developers and our team in South Africa: the Forward Deployed Engineer, the implementation and training team, and the telematics team.

Over time, the role will move towards customer support and customer success. As you build checks and automations that keep data quality high, less of your time will go on checking data and more on supporting customers. You will also take on some system administration and help set up how future hires do this work.

Key responsibilities

Check data and systems

• Use our system health dashboard and review each customer account. Look for missing, inaccurate or inconsistent data.
• Check pre-starts, breakdowns, production, service schedules, daily machine summaries, fuel records and exceptions. Check that the amount and quality of data stay consistent.
• Monitor the telematics feeds coming into our control room. Investigate feeds that stop and readings that look wrong.
• Check customer reports against the underlying data, so that customers receive accurate information.
• Review failures in the automated tests that check Diggy from start to finish. Investigate them and give developers a clear description and the evidence.

Resolve problems and improve systems

• Talk to users and customers to find out where a problem comes from: the software, a telematics feed, a missed step on site or a training gap.
• Tell the field team where action is needed and follow each problem through until it is resolved.
• Design your own checks, flags and automations, so that problems are found early with less manual checking.
• Set up how exceptions are managed: what gets flagged, who acts on it, and how it is followed up until it is closed.
• Give developers clear feedback on bugs, gaps and improvements, so that the system itself prevents problems and flags them better.
• Coordinate agreed initiatives and rollouts with customers and the field team.
• Work with the Forward Deployed Engineer when a customer's configuration needs changing. That role owns customer configuration and targets.

Help customers use Diggy

• Contact customers directly to understand how they use Diggy, and follow up on missing records or incorrect use.
• Send short training videos, explain tasks and work with the team on site to arrange training.
• Follow up to check whether training and changes have improved how customers use Diggy and the quality of their data.

What success looks like in the first months

• You run regular account and system checks without the founders directing each task.
• You find problems early, make sure reports are accurate, and follow exceptions through until they are resolved.
• Recurring problems go down, more checks run automatically, and customers use Diggy better.

What you need

• A university degree and two or more years of corporate experience. This is not a graduate role.
• Strong communication skills, written and spoken. You will work with customers, site teams and developers every day.
• You can analyse data, investigate errors and explain clearly what you found.
• You are comfortable working with spreadsheets.
• You learn new systems quickly and can turn repeated work into a clear process.

SQL and mining experience are not required. We will teach you Diggy and the industry.

What we look for in you

Attention to detail and proactiveness are essential.

• You check your work carefully and investigate anything that does not add up.
• You act without waiting to be asked and follow problems through.
• You bring energy, motivation and a willingness to learn. You take responsibility for your work and are honest about mistakes.
• You are patient and helpful with users, and you enjoy helping people get things right.
• You already use AI tools well in your daily work. We will ask you to show us how at interview.

What we offer

• A competitive market salary, plus a UAE employment visa and health insurance. We'll discuss the salary in the first interview.
• AI tools, and ongoing training and upskilling in Diggy, the industry and AI.
• Close work with the founders, our engineers and the field team, on a technology stack built around AI. You will learn a lot.
• A three-month probation period.

This list covers the main duties only. The role will change as Diggy grows.

How to apply

Apply through our application form: click Apply on our LinkedIn post, or go to forms.gle/eNRLvgTPHnCkMm256. You don't need to sign in, and it takes about 20 minutes. You can paste a link to your CV, upload it after you submit (that step needs a Google account), or email it to careers@diggy.app.

There's one written question. Keep your answer under 200 words. You're welcome to use AI to help, and we'll talk about your answer at interview.

If you like, add a short video about yourself. It's optional, but it really helps us get to know you.

Our team will review your application and give you feedback, whatever the outcome. We keep applications for six months, then delete them.

One last thing: to show you've read this far, type "hour meter" when the form asks for the phrase from the job ad.