The Role:<\/p>\n
\tWe 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.
\n\tDay 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.<\/p>\n
Key Responsibilities<\/p>\n
Reporting and Dashboards:<\/p>\n
\tBuild, maintain, and improve regular reporting outputs across finance, marketing, merchant performance, and consumer impressions \u2014 including daily, weekly, and monthly dashboards.
\n\tTranslate raw data into clean, stakeholder-ready reports that communicate insights clearly and concisely.
\n\tEnsure data quality and consistency across all reporting artefacts.
\n\tDocument reporting logic and maintain version-controlled query libraries.<\/p>\n
Ad-Hoc Analysis:<\/p>\n
\tRespond to analytical requests from internal stakeholders across finance, marketing, merchant success, and the risk team.
\n\tScope, execute, and communicate analyses under time pressure, with appropriate rigour.
\n\tIdentify patterns, anomalies, and actionable insights from large transactional datasets.<\/p>\n
Data Pipeline Support:<\/p>\n
\tAssist in building and maintaining dbt models and SQL transformations on our Snowflake data warehouse.
\n\tCollaborate with the data team to improve data availability, consistency, and model quality.
\n\tSupport the monitoring and validation of data pipelines and source system feeds.<\/p>\n
Risk & Stakeholder Engagement:<\/p>\n
\tPartner with finance, marketing, merchant success, and risk teams to understand their data needs and deliver timely, accurate analytical outputs.
\n\tPresent findings confidently to both technical and non-technical audiences.
\n\tEnsure the business has access to well-structured, reliable data \u2014 supporting finance, marketing, merchant success, and other teams with the information they need to make informed decisions.
\n\tContribute to a culture of data-driven decision-making across the organisation.<\/p>\n
Requirements:<\/p>\n
Education:<\/p>\n
Minimum: Bachelor’s degree in a quantitative or analytical discipline<\/p>\n
\tComputer Science, Statistics, Mathematics, Data Science, Engineering, Finance, Economics, or related field.
\n\tPreferred: Honours degree or postgraduate qualification in a relevant field.<\/p>\n
Experience:<\/p>\n
\t2+ years of professional experience in a data, analytics, or reporting role.
\n\tDemonstrated experience handling large, complex datasets and producing stakeholder-facing outputs.
\n\tExperience working in a collaborative team environment, ideally with cross-functional stakeholders.<\/p>\n
Technical Skills Required:<\/p>\n
\tdbt (data build tool) \u2014 exposure to dbt for SQL transformation workflows; willingness to develop this skill actively.
\n\tCloud data warehousing \u2014 familiarity with Snowflake, BigQuery, Redshift, or similar.
\n\tStatistical analysis \u2014 understanding of descriptive statistics, distributions, and hypothesis testing.
\n\tFinTech \/ payments domain knowledge \u2014 prior experience in a financial services, BNPL, credit, or payments environment.<\/p>\n
Competencies and attributes:<\/p>\n
\tIntellectual Curiosity: Asks \u201cwhy\u201d, digs beyond the surface, and learns proactively without being prompted.
\n\tAnalytical Rigour: Checks assumptions, validates outputs, and does not present unverified conclusions.
\n\tCommunication: Translates complex data into plain language and is comfortable presenting to non-technical stakeholders.
\n\tOwnership: Takes responsibility for the quality and timeliness of their work without hand-holding.
\n\tTeam Orientation: Collaborative, low-ego, generous with knowledge, and supportive of peers.
\n\tAdaptability: Thrives in ambiguity and shifting priorities typical of a scaling FinTech environment.
\n\tAttention to Detail: Catches errors before they surface and applies consistent standards to all outputs.
\n\tGrowth Mindset: Actively seeks feedback, invests in upskilling, and is open to being challenged.<\/p>\n
What we offer:<\/p>\n
\tA high-impact role embedded in a fast-scaling FinTech with real ownership from day one.
\n\tExposure to modern data stack tooling: Snowflake, dbt, Python, GitHub \u2014 and a team committed to engineering best practices.
\n\tAccess to meaningful datasets \u2014 millions of consumer transactions, credit bureau integrations, and live payment rails.
\n\tA flat, collaborative team culture with direct access to senior stakeholders and leadership.
\n\tStructured growth path with clear progression toward a Data Analyst (Mid) role.
\n\tHybrid working model \u2014 Cape Town based, with flexibility.
\n\tCompetitive market-related remuneration package.<\/p>\n
Closing Date\u00a001 July 2026<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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