Data Science

**Who** we are**:
Yoco was founded in 2015, and we’ve been breaking down barriers, unlocking economic opportunities and opening commerce for people to thrive ever since.

We’re the payments provider for over 200,000 self-employed, and process over US$3 billion annually.

We have ±350 team members globally, all with a bias for boldness and a passion for simple, progressive solutions. We believe in uniting different people to solve hard problems, together.

Our mission of making society more equal requires a variety of people, with different backgrounds and points of view, to keep building solutions that make life easier for emerging businesses.

We’re growing fast. With growth comes compelling challenges. If you’re an ambitious problem-solver, with big ideas, a passion for doing good, bright, grounded and courageous; you’re likely to thrive at Yoco.

We don’t stop pushing. We break things to rebuild. We challenge ourselves and each other. We’re constantly evolving - and we’re doing it fast.

Grow With Us.

**About the**team**:
You'll lead a cross-functional analytics team embedded across Yoco's business units, with primary focus on supporting our Go-to-Market and Internal Enablement teams (including Systems, Finance, Strategy, and Risk).

The Data Science & Analytics team at Yoco powers intelligent decision-making across the business, translating complex data into actionable insights that drive growth, operational efficiency, and strategic decisions. Our work spans from daily operational dashboards to sophisticated predictive models that shape how we serve merchants and scale our business.

This role sits at the intersection of technical excellence and business partnership - you'll build a high-performing team while being deeply embedded in the business problems they solve.

**About the role**:
We're looking for an experienced Data Science & Analytics Manager to lead, grow, and develop a team of analysts and data scientists who partner directly with our business stakeholders. This is a people-first leadership role where you'll balance team development with strategic business partnership.

You'll ensure the right work gets done by the right people at the right time, translating business priorities into team capacity, developing talent across both analytics and data science disciplines, and ensuring our work drives measurable business outcomes. Critically, you'll work closely with business leaders to mature their data literacy, analytics capabilities, and self-service frameworks—coaching them on how to engage with data productively and building sustainable analytics practices.

**What you will be doing**:
**Strategic Business Partnership**:

- Embed deeply with Go-to-Market and Internal Enablement teams (Systems, Finance, Strategy, Risk) to understand their business challenges and priorities

- Translate business strategy into analytics team roadmap and priorities

- Partner with business leaders to identify high-impact opportunities where analytics and data science can drive value

- Build trusted advisor relationships with stakeholders at all levels, including senior leadership

- Navigate organisational dynamics and competing priorities to secure resources and alignment

- Represent the analytics function in leadership forums and strategic planning discussions

**Analytics Maturity & Capability Building**:

- Assess and mature data frameworks, analytics processes, and self-service capabilities across business groups

- Coach business partners on how to engage with data effectively - from asking the right questions to interpreting insights

- Build data literacy across the organization through training, documentation, and hands-on support

- Work with teams at different levels of analytics maturity, meeting them where they are and helping them progress

- Establish standards for analytical work, documentation, and knowledge sharing

- Invest in tools, infrastructure, and processes that enable the team to scale their impact

**Delivery & Operational Excellence**:

- Prioritise across competing demands - balancing strategic projects with operational needs

- Allocate resources effectively across analytics and data science initiatives

- Build delivery systems and processes that drive clarity, accountability, and quality at speed

- Remove blockers, manage risk, and ensure teams have what they need to succeed

- Communicate progress, setbacks, and team impact clearly to stakeholders

- Balance short-term delivery with long-term capability building

**Strategic Planning & Execution**:

- Translate business objectives into analytics roadmap with clear priorities and success metrics

- Make data-driven decisions about team investments, tools, and resource allocation

- Anticipate future analytics needs and build capabilities proactively

- Balance strategic, high-impact work with operational support and ad-hoc requests

- Ensure analytics work is aligned to business outcomes and demonstrates clear ROI

**People Le