Moniepoint Inc. (Formerly TeamApt Inc.)

Data Analyst

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs.
• Translate product and business questions into analysis and actionable insights.
• Develop and maintain scalable and self-service visualization tools and dashboards.
• Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
• Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
• Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Senior Data Analyst

3D Artist

• Design and prototype motion interactions for web and mobile, creating seamless, engaging, and intuitive experiences.
• Collaborate with product designers, developers, illustrators, and marketing teams to integrate motion across product features, onboarding flows, and brand campaigns.
• Define and maintain motion principles and guidelines within the design system for consistency and scalability.
• Create high-fidelity animations using After Effects, Principle, Figma, or Framer, ensuring polished execution.
• Partner with engineers to ensure smooth handoff, technical feasibility, and optimal implementation.
• Iterate on animations based on user feedback, usability testing, and performance insights to refine the experience.
• Stay ahead of motion trends, interaction patterns, and fintech best practices to drive innovation.

Motion Designer

Auditor

• Audit of Application Program Interfaces Security Controls.
• Audit REST, GraphQL, and internal APIs for governance, and compliance with organizational standards.
• Audit of Database Security Controls (e.g., MySQL, PostgreSQL, SQL Server, Oracle) for data integrity, availability, and confidentiality.
• Assess compliance with regulatory and industry frameworks (e.g., SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR).
• Evaluate API versioning, lifecycle management, and deprecation controls.
• Identify risks related to authentication, authorization, rate limiting, and input validation.
• Review protection mechanisms against common threats (e.g., injection attacks, broken object-level authorization).
• Evaluate encryption practices (in transit and at rest).
• Assess secrets management for database credentials and API keys.
• Review database patching, vulnerability management, and hardening practices.
• Assess data classification, retention, and deletion policies.
• Review database schema design, constraints, indexing, and referential integrity controls.
• Evaluate logging, monitoring, and audit trails for data access and changes.
• Verify segregation of duties for database administration and application access.
• Review backup, replication, and disaster recovery processes.
• Assess performance monitoring, capacity planning, and availability controls.
• Evaluate change management processes for schema and API changes.
• Review third-party API integrations and data-sharing agreements.
• Document audit findings with risk ratings and evidence.
• Provide clear, actionable remediation recommendations.
• Present findings to engineering, security, and data governance stakeholders.
• Track remediation progress and validate corrective actions.
• Participates in the other regular audits in the IT Audit Plan as assigned by the Head, IT Audit.

API Auditor, Database Auditor

Machine Learning Engineer

• Lead high-impact projects: Design and deliver end-to-end data science solutions that support product innovation and business strategy.
• Uncover insights: Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions.
• Build models: Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Enable experimentation: Design A/B tests and causal inference studies to help teams learn quickly and make informed choices.
• Collaborate cross-functionally: Work closely with product managers, engineers, and business leaders to understand goals and deliver data-driven solutions.
• Promote data fluency: Build dashboards, tools, and frameworks to enable self-service analytics and scale your impact across teams.