Hot Jobs at Spot Money SA

• The Junior Data Analyst is tasked with building and maintaining business reporting dashboards, and developing predictive models to support various business initiatives. The Data Analyst also provides insights, assists to improve reporting processes, and ensures accurate and operational dashboards for effective decision-making.

Key roles and responsibilities : 

• Stakeholder Collaboration:
• Liaise with internal stakeholders including Marketing, Product, Support, Finance, and 3rd Party partners.
• Reporting Documentation:
• Develop Reporting BRS documents in conjunction with the Business owner, including managing the BRS sign-off process and ROI calculation of the report development.
• Dashboard Development:
• Build, refine, and maintain business reporting dashboards to support day-to-day operations across the business in line with business KPIs.
• Predictive Modeling:
• Build, maintain and refine predictive models to support marketing, product, support, finance, and fraud initiatives.
• Insights Provision:
• Provide insights to business owners on the reports, with recommendations for improvements.
• Process Improvement:
• Identify reports, processes, and/or models that will improve business performance in line with KPIs.
• Business Process Enhancement:
• Improve business processes, databases, and recommend new tools.
• Dashboard Accuracy:
• Ensure dashboards are operational and accurate to support the business decision-making process and reporting.
• Budget and KPI Management:
• Work within a defined budget, targets, and KPIs.
• Leading-edge Business Analytics:
• Drive the business to be at the leading edge of Business Analytics.

Requirements : 

• Proficient in Excel, mySQL, postgres, SQL, Python, AWS Cloud Services, Data Visualization (Quicksight and PowerBi).
• Knowledge and experience with AWS preferred.
• Knowledge of SDK and API integrations between services.
• Knowledge of websites, apps, and HTML.
• Ability to handle multiple projects simultaneously, deliver on tight deadlines, and achieve stretch KPIs.
• Constantly benchmark performance against leading world-class businesses.
• Ability to interpret and make data-driven decisions.
• Proven organizational and collaborative skills to balance divergent priorities.
• Positive and empathetic attitude with a proven ability to work well with and lead teams.
• Excellent written communication skills: grammar, sentence structure, and spelling.
• Strong computer literacy with an ability to learn new applications quickly.
• Flexibility to perform ad-hoc tasks as per business needs.
• Degree or post-graduate qualification in a quantitative discipline.
• Minimum of 2 years of relevant experience in data modeling.

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Responsibilities : 

• Wireframing and Prototyping
• Assist in creating wireframes and interactive prototypes to visually communicate design ideas and flows.
• Work closely with the design team to explore different design solutions for the Spot Money and Mobile app.
• Design System Management
• Support the ongoing management, implementation, and optimization of the Spot Design System to ensure consistency in visual language and components across all product touchpoints.
• User Research and Feedback Integration
• Conduct user research by gathering insights from users to understand their needs and pain points.
• Incorporate user feedback into design iterations, improving user experience and product usability.
• Collaboration with Cross-Functional Teams
• Work closely with teams from engineering, marketing, and product to ensure that design elements align with the overall product strategy. This collaboration will ensure consistency across various teams and departments.
• User Testing and Evaluation
• Participate in user testing sessions to evaluate the effectiveness of design solutions.
• Analyse user feedback to inform improvements and adjustments to the product design.

Requirements : 

• Degree, diploma, or certificate in Visual Design, UX/UI Design, or a related field.
• 1-2 years of experience in UX/UI or product design.
• Basic understanding of user-centred design principles.
• Familiarity with product design tools such as Figma (preferred) or similar design software.
• Excellent communication skills and the ability to present design concepts clearly.
• Eagerness to learn, adapt, and contribute to a collaborative design environment.

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• We're seeking a detail-driven and forward-thinking Senior Data Analyst who can dive deep into complex data, identify trends, and spark innovative solutions. The Senior Data Analyst is responsible for leading the Business Intelligence Strategy (BIS) across marketing, product, support, and finance. This role involves defining the data architecture, ensuring quality standards, and collaborating with internal stakeholders to meet the BIS needs of the business. The Senior Data Analyst will be accountable for managing work allocation within the data team, focusing on quality and timely delivery.

Key roles and responsibilities :

• Business Intelligence Strategy:
• Develop, lead, and execute the Business Intelligence Strategy across marketing, product, support, and finance.
• Data Management and Architecture:
• Define and develop data architecture and quality standards for the business.
• Liaise with internal stakeholders to assess BIS needs to support the business objectives.
• Team Management:
• Manage work allocation within the data team, ensuring quality and timely delivery.
• Reporting and Dashboards:
• Develop Reporting Business Requirements Specification (BRS) documents in collaboration with business owners. Including managing the BRS sign-off process and ROI calculation of the report development.
• Build, refine, and maintain business reporting dashboards to support the day-to-day operations across the business in line with the Key Performance Indicators (KPIs).
• Predictive Modeling:
• Build, maintain and refine predictive models to support marketing, product, support, finance, and fraud initiatives.
• Insights and Recommendations:
• Provide insights to business owners on reports, recommending improvements.
• Identify reports, processes, or models to enhance business performance aligned with KPIs.
• Process Improvement:
• Improve business processes, databases, and recommend new tools.
• Budget and Performance:
• Work within a defined budget, targets, and KPIs.
• Drive the business to be at the leading edge of Business Analytics.

Requirements :

• Proficient in Excel, mySQL, postgres, SQL, Python, AWS Cloud Services, Data Visualization (Quicksight and PowerBi).
• Knowledge and experience with AWS preferred.
• Knowledge of SDK and API integrations between services.
• Knowledge of websites, apps, and HTML.
• Ability to handle multiple projects simultaneously, deliver on tight deadlines, and meet KPIs.
• Constantly benchmark performance against leading world-class businesses.
• Ability to interpret and make data-driven decisions.
• Proven organizational and collaborative skills to balance divergent priorities.
• Positive and empathetic attitude with a proven ability to work well with and lead teams.
• Excellent written communication skills: grammar, sentence structure, and spelling.
• Strong computer literacy with an ability to learn new applications quickly.
• Flexibility to perform ad-hoc tasks as per business needs.
• Degree or post-graduate qualification in a quantitative discipline.
• Minimum of 3-5 years of relevant experience in data modeling and management.