About PayJustNow:

PayJustNow is South Africa's leading Buy Now Pay Later (BNPL) platform, enabling consumers to split purchases into three equal, interest-free instalments at checkout. Backed by Weaver Fintech Ltd, we operate at the intersection of consumer credit, payments technology, and financial inclusion.

Our data team sits at the heart of the business — owning analytics across finance, marketing, merchant performance, and consumer impressions, and ensuring the wider business has access to well-structured, reliable data to make informed decisions. We build the analytical foundations that allow PayJustNow to scale responsibly and intelligently.

The Role:

We are looking for a curious, detail-oriented Junior Data Analyst to join our Cape Town-based data team. This is a reporting and analytics-focused role with room to grow. You will be embedded in a fast-paced FinTech environment, working closely with the Data Team Lead and cross-functional stakeholders across finance, marketing, merchant success, and risk.

Day to day, you will own and maintain reporting outputs, respond to ad-hoc analytical requests, and contribute to a team that values rigour, speed, and clear communication. Over time, you will gain exposure to machine learning pipelines, data modelling, and modern data stack tooling.

Key Responsibilities

Reporting and Dashboards:

• Build, maintain, and improve regular reporting outputs across finance, marketing, merchant performance, and consumer impressions — including daily, weekly, and monthly dashboards.
• Translate raw data into clean, stakeholder-ready reports that communicate insights clearly and concisely.
• Ensure data quality and consistency across all reporting artefacts.
• Document reporting logic and maintain version-controlled query libraries.

Ad-Hoc Analysis:

• Respond to analytical requests from internal stakeholders across finance, marketing, merchant success, and the risk team.
• Scope, execute, and communicate analyses under time pressure, with appropriate rigour.
• Identify patterns, anomalies, and actionable insights from large transactional datasets.

Data Pipeline Support:

• Assist in building and maintaining dbt models and SQL transformations on our Snowflake data warehouse.
• Collaborate with the data team to improve data availability, consistency, and model quality.
• Support the monitoring and validation of data pipelines and source system feeds.

Risk & Stakeholder Engagement:

• Partner with finance, marketing, merchant success, and risk teams to understand their data needs and deliver timely, accurate analytical outputs.
• Present findings confidently to both technical and non-technical audiences.
• Ensure the business has access to well-structured, reliable data — supporting finance, marketing, merchant success, and other teams with the information they need to make informed decisions.
• Contribute to a culture of data-driven decision-making across the organisation.

Requirements:

Education:

• Minimum: Bachelor's degree in a quantitative or analytical discipline
• Computer Science, Statistics, Mathematics, Data Science, Engineering, Finance, Economics, or related field.
• Preferred: Honours degree or postgraduate qualification in a relevant field.

Experience:

• 2+ years of professional experience in a data, analytics, or reporting role.
• Demonstrated experience handling large, complex datasets and producing stakeholder-facing outputs.
• Experience working in a collaborative team environment, ideally with cross-functional stakeholders.
  
  

Technical Skills Required:

• dbt (data build tool) — exposure to dbt for SQL transformation workflows; willingness to develop this skill actively.
• Cloud data warehousing — familiarity with Snowflake, BigQuery, Redshift, or similar.
• Statistical analysis — understanding of descriptive statistics, distributions, and hypothesis testing.
• FinTech / payments domain knowledge — prior experience in a financial services, BNPL, credit, or payments environment.
  
  

Competencies and attributes:

• Intellectual Curiosity: Asks “why”, digs beyond the surface, and learns proactively without being prompted.
• Analytical Rigour: Checks assumptions, validates outputs, and does not present unverified conclusions.
• Communication: Translates complex data into plain language and is comfortable presenting to non-technical stakeholders.
• Ownership: Takes responsibility for the quality and timeliness of their work without hand-holding.
• Team Orientation: Collaborative, low-ego, generous with knowledge, and supportive of peers.
• Adaptability: Thrives in ambiguity and shifting priorities typical of a scaling FinTech environment.
• Attention to Detail: Catches errors before they surface and applies consistent standards to all outputs.
• Growth Mindset: Actively seeks feedback, invests in upskilling, and is open to being challenged.
  
  

What we offer:

• A high-impact role embedded in a fast-scaling FinTech with real ownership from day one.
• Exposure to modern data stack tooling: Snowflake, dbt, Python, GitHub — and a team committed to engineering best practices.
• Access to meaningful datasets — millions of consumer transactions, credit bureau integrations, and live payment rails.
• A flat, collaborative team culture with direct access to senior stakeholders and leadership.
• Structured growth path with clear progression toward a Data Analyst (Mid) role.
• Hybrid working model — Cape Town based, with flexibility.
• Competitive market-related remuneration package.

Application:

To apply, please submit your CV and a brief cover letter outlining your experience with SQL and Python, and why you are drawn to the FinTech and payments space.

Shortlisted candidates can expect: a technical screening (SQL/Python), a take-home analytical task, and a final panel interview with the Data Team Lead.