The Opportunity:

At a fast-growing company, data is rarely the hardest problem. The harder problem is understanding what the data is actually telling you.

A business can have dashboards, reports, and hundreds of metrics, and still have five different explanations for why performance changed. One team sees a demand problem. Another sees an execution problem. Someone else sees a capacity issue. The founder looks at the same numbers and asks: "But what is actually going on?"

This role exists to answer that question.

We are looking for an exceptional analytical generalist who enjoys taking ambiguous business problems, going deep into data, testing competing hypotheses, finding the underlying pattern, and turning it into a clear insight that helps leadership make better decisions.

You will work closely with the Founder & CEO and senior leadership, across functions and business problems.

This is deliberately not a conventional reporting or BI role.

What You Will Do:

Your work will typically move through: Business Question > Data > Analysis > Insight > Decision > Outcome.

You may start with something as simple as: "Why has this metric changed?"

But the real work is figuring out: What actually changed? Where did it change? Is the movement real? What could explain it? Which explanations are supported by evidence? What don't we know? What should we investigate next? What does this mean for the business?

You will work across areas including growth, customers, operations, finance, productivity, unit economics, and strategy. The specific questions will change constantly. That is part of the role.

Your Core Responsibilities:

- Take loosely defined questions and structure them into analytical problems that can actually be investigated.

- Identify the underlying drivers behind important business movements rather than simply reporting the movement.

- Find patterns, relationships, exceptions, and opportunities that are not obvious from standard reporting.

- Test prevailing explanations rather than accepting the first plausible narrative, including your own.

- Help leadership distinguish between what we know, what we believe, and what we still need to find out.

- Turn complex analysis into concise conclusions that senior leaders can understand and act upon.

- As you build context and credibility, increasingly contribute to recommendations, experiments, and decision-making.

- Develop reusable frameworks and diagnostic approaches so the organisation becomes progressively less dependent on individual intuition.

What We Are Looking For:

We care much more about how you think than what your previous job title was.

You could come from Business Analytics, Data Analytics, Strategy, Consulting, Business Intelligence, Growth, Product, Marketing Analytics, Operations, Revenue Management, Corporate Strategy, Finance, Founder or Chief of Staff roles, or other analytically intensive functions.

You could have worked in Consumer, Technology, SaaS, E-commerce, Q-commerce, Fintech, Edtech, Healthcare, Retail, Manufacturing, Consulting, or something completely different.

Industry experience is not a prerequisite. If you are a strong analytical thinker, we expect you to learn a new business.

The Capabilities That Matter Most:

- Analytical reasoning: You can take a messy problem, break it down, and determine what needs to be understood.

- Data fluency: You are comfortable working directly with data and can independently investigate a problem using tools such as Excel/Sheets, SQL, BI tools, or equivalent. You do not need to be a data engineer. You do need to be able to go behind a dashboard when the question requires it.

- Business judgment: You understand that analysis is valuable only when it improves understanding or decisions. You naturally ask: "So what?"

- Intellectual independence: You are willing to challenge an attractive explanation when the evidence does not support it.

- Intellectual honesty: You are comfortable saying "I don't know yet" and equally comfortable saying "I was wrong."

- Communication: You can take something complicated and explain it simply.

What This Role Is NOT:

This is not primarily a MIS role, reporting role, dashboard-building role, Tableau administration role, data engineering role, or data-entry role. We are not looking for someone whose main contribution is producing more reports.

If your proudest accomplishment is "I built 30 dashboards," this may not be the right fit.

If your proudest accomplishment is "I discovered why a major business metric was deteriorating, changed management's understanding of the problem, and influenced the intervention," we want to meet you.

Tools:

You should be comfortable with analytical tools such as Excel/Google Sheets, SQL or equivalent, and Tableau/Power BI/Looker or similar BI platforms. Python, statistics, and experimentation capabilities are useful additions.

But we will not hire you because you know a particular tool. Tools can be learned. Analytical judgment is harder to teach.

Experience:

Typically 5 - 10 years of relevant experience. But we are deliberately not making years, title, or industry rigid filters. If you have spent fewer years solving unusually difficult analytical problems, we would rather hear from you than automatically reject you. Likewise, ten years of reporting experience is not necessarily more relevant than five years of genuine business analytics.

The Person We Are Looking For:

You may be a data analyst who has become increasingly interested in the business behind the numbers. You may be a consultant who wants to move from advising companies to being inside the problem. You may be a strategy professional who wants to become more analytically rigorous. You may be a product, growth, or operations professional who has discovered that your strongest skill is figuring out why things happen. Or you may have an unconventional background entirely.

The common thread is: you are unusually curious about how things work. You do not stop at "What happened?" You want to know "Why?" And then "So what?" And eventually "What should we do about it?"

If that sounds like you, we would like to hear from you.