Turning Data into Decisions

Meet the team quietly powering smarter decisions across Lumos - one data pipeline at a time.

When you’re operating solar energy systems across multiple markets, coordinating field installations, tracking repayments, managing uptime, and supporting thousands of customers, then complexity comes with the territory. At Lumos, no one pretends otherwise. Instead, we’ve built something to handle it: a dedicated Data Team that turns operational noise into structured, reliable insight.

They’re not the loudest team in the room. But take away what they do, and you’d feel it everywhere; slower decisions, missed signals, and teams pulling in different directions.

What the Data Team Actually Does

Here’s the thing about good data work: you don’t notice it when it’s running well. What you see instead are teams moving faster, making sharper calls, and catching problems before they escalate. Behind all of that sits a small, focused group doing work that spans the full data lifecycle: from building and maintaining automated pipelines that ingest raw operational signals, to producing the dashboards and financial reports that different departments rely on daily.

"I build and maintain automated data pipelines and financial reporting systems. A big part of my work involves tracking portfolio health metrics."  - Chidinma Okoro, Data Analyst

Before any metric can inform a decision, it has to be collected, cleaned, validated, and structured. Data Manager Wasiu Musa Oladipupo walks us through what that looks like in practice:

"I collect and validate operational data, monitor performance metrics, prepare dashboards, and respond to data requests from different teams. I also review trends, identify anomalies, and provide insights that help teams make informed decisions quickly."  - Wasiu Musa Oladipupo, Data Manager

The process is deliberate: validate first, clean and structure next, analyse trends, then present findings in a format people can actually use. No jargon. No noise. Just clarity delivered to the right people at the right time.

One Version of the Truth

One of the trickiest challenges in any fast-growing, multi-market business is keeping everyone aligned. When finance, operations, and customer service are working from different figures, you get friction, conflicting numbers in meetings, time lost reconciling spreadsheets, decisions delayed because no one quite agrees on the baseline.

Lumos tackles this with a shared “single source of truth”: a centralised, validated operational layer that every team draws from. Teams work from the same definitions, the same metrics, and the same picture of performance.

As Olawale Falodun, Group Senior Data Analyst, puts it, Lumos is a “data-first workplace.” Automated workflows, standardised definitions, and well-documented processes mean outputs are consistent and trustworthy, whether it’s a standard weekly report or a one-off request from leadership.

That consistency isn’t just convenient. It reduces duplication, speeds up execution, and gives teams the confidence to act without second-guessing the numbers.

From Numbers to Action

The Data Team’s outputs aren’t sitting in dashboards waiting to be admired, they’re embedded directly into how different parts of Lumos operate. Finance uses data for performance tracking and revenue forecasting. Operations teams rely on it to manage customer contracts and flag payment trends. Field teams benefit through better planning, clearer priorities, and faster issue resolution on the ground.

"My reports are used to track performance and help the team make decisions by providing accurate data."  - Chidinma Okoro, Data Analyst

A good example is the “Heading to Lost” tracker, which identifies at-risk customer contracts early and gives operations teams the window they need to intervene before a default happens. Rather than reacting after the fact, the team can get ahead of problems, prioritising outreach, reducing risk, and protecting customer relationships. It’s a clear illustration of what happens when data is built into the way a team works, rather than consulted occasionally.

Connecting Teams

Because the Data Team’s work touches so many parts of the business, their role extends beyond producing reports. They work closely with finance, operations, customer service, sales, and leadership to make sure teams are using the same definitions and interpreting results consistently. Standardisation and documentation are just as central to the work as building pipelines or designing dashboards.

This connected layer has become part of how the organisation operates at scale. Finance, operations, and customer-facing teams can coordinate from the same operational view, without needing to reconcile competing versions of performance. As Lumos grows across markets, that foundation keeps complexity from becoming fragmentation.

Built to Scale

The infrastructure supporting Lumos today isn’t a fixed system, it’s a foundation built to handle more markets, more customers, and more complexity over time. From revenue forecasting to field operations, insight is woven into how the business runs from the start, not added on afterwards.

The Data Team is living proof of this core belief; a group of people focused on helping every team move smarter, react faster, and serve customers better.

And as Lumos continues to grow, that foundation only gets more valuable, making sure the organisation can keep doing what it does best, at whatever scale.