Data Science & Analytics Manager

YocoCape Town, Western Cape, South Africa

21 hours ago

Job description

Location : Cape Town, Western Cape, South Africa

Overview

Yoco was founded in 2015, breaking down barriers and unlocking economic opportunities. We process over US$3 billion annually with a global team of about 350 members. Our mission is to build a more equal society, and we’re growing fast, challenging ourselves, and evolving quickly.

About the Team

You will lead a cross‑functional analytics team embedded across Yoco’s business units, primarily supporting Go‑to‑Market and Internal Enablement teams (Systems, Finance, Strategy, and Risk). The team powers intelligent decision‑making across the business, translating complex data into actionable insights.

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 balancing team development with strategic business partnership.

What You Will Be Doing

Strategic Business Partnership

Embed deeply with Go‑to‑Market and Internal Enablement teams 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 Leadership & Team Development

Recruit, develop, and retain top analytics and data science talent with diverse skill sets

Provide clear coaching, feedback, and performance management across both analytics and data science tracks

Create growth pathways and development opportunities tailored to individual strengths and career aspirations

Foster a high‑performing team where people challenge each other and grow together

Handle difficult conversations and performance issues with care and directness

About You

Essential experience

5+ years managing analytics, data science, or business intelligence teams, with demonstrated success developing talent and delivering business impact

Proven track record as a hands‑on business partner – deeply embedded with business stakeholders, influencing decisions, and translating between technical and business contexts

Experience building analytics maturity in organisations, including developing data literacy, self‑service frameworks, and analytics best practices

Strong understanding of both analytics and data science disciplines – you can speak credibly about SQL, statistical methods, experimentation, and ML approaches

Track record working with business functions at different levels of data sophistication, meeting them where they are and coaching them forward

Experience managing cross‑functional partnerships with go‑to‑market, finance, operations, or risk teams

Comfortable navigating ambiguity, managing competing priorities, and making tough decisions with incomplete information

How you work

People first – you genuinely care about developing people and building high‑performing teams

Business embedded – you don't manage from a distance; you are in the weeds understanding business problems and building relationships

Clarity and communication – you provide crystal‑clear direction and adapt your message to your audience

Pragmatic and decisive – you balance trade‑offs, make sound decisions with incomplete information, and know when to act vs. gather more data

Maturity builder – you have a nose for where analytics capabilities are immature and a toolkit to develop them

Results oriented – you focus relentlessly on business outcomes, not just outputs

Organisationally savvy – you navigate politics effectively, influence without authority, and get things done in complex environments

Growth mindset – you learn from mistakes, seek feedback actively, and continuously improve how you lead and how your team operates

Nice to have

Background as a senior analyst or data scientist – you've done the work and understand what your team experiences

Experience in fintech, payments, or high‑growth technology companies

Familiarity with modern analytics tools and data stack (SQL, Python / R, BI platforms, workflow orchestration)

Understanding of experiment design, causal inference, or machine learning applications

Benefits

24 paid leave days annually, plus public holidays

Medical aid and gap cover contributions

Paid parental leave for mothers, fathers, and adoptive parents, plus family responsibility leave

Annual learning budget to invest in courses, conferences, or training

Weekly company gatherings, team outings, employee‑led clubs, and a culture where everyone belongs

Application

Apply below and come grow with us.

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Data Science Manager • Cape Town, Western Cape, South Africa

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