Specialist Solution Analyst

SUMMARY:
MpiloTech, established in 2015, pioneers’ cutting-edge technology solutions in Digital Banking and Multi Experience App Development, specializing in Cloud-native and agnostic solutions. Leveraging our Development Best Practice (CMMI 3.0) Consulting arm, we deliver enterprise-grade solutions with predictable outcomes and serve as strategic advisors to our enterprise customers.

Our mission is to combat unemployment in South Africa and across Africa by creating 10 000 jobs in Digital Transformation by 2030. Through initiatives like our Unearthing Greatness in Unexpected Places Program, Impi League Graduate Program, and Resource Augmentation service, we identify top IT talent to join our Software Development teams, providing opportunities to work on impactful client projects.

Currently, we are seeking candidates for a Specialist Solution Analyst position with expertise in data analytics, data engineering integration, and financial markets.

POSITION INFO:
Responsibilities:

• Define and document data engineering standards, including code structure, data asset usage, and calculation methodologies.
• Maintain a centralized documentation system for production solutions and assets.
• Act as the bridge between data analytics and data engineering teams to promote best practices and ensure alignment.
• Review and approve analytics solutions before handoff to the engineering team.
• Create procedures for solution handovers, tracking feedback and improvements.
• Build educational resources and support tools for analysts to enhance team capabilities.
• Consolidate and manage a repository of reusable data assets and components.
• Drive continuous improvement across analytical and data engineering processes.
• Participate in agile ceremonies, including sprint planning, stand-ups, and backlog grooming.
• Provide hands-on support to the data analytics team as needed.

• Bachelor's or Master’s degree in Computer Science, Engineering, Data Analytics, or related fields.
• 5+ years' experience in data or development environments, with a strong analytics/engineering background.
• Demonstrated knowledge of financial products and markets.
• Deep understanding of data engineering principles, including ETL pipelines, data modeling, and automation workflows.
• Hands-on experience with Python and SQL, including API integration.
• Familiarity with cloud platforms (AWS, Azure, or GCP), especially for deploying and managing data solutions.
• Strong communication, documentation, and problem-solving skills.

• Global Markets Experience
• Data Modeling & Schema Design
• Automation of Data Workflows
• Python & SQL Proficiency
• API Integration Experience
• Cloud Platform Deployment
• Financial Product Knowledge
• Data Engineering Concepts (ETL, pipelines)
• Machine Learning & AI Exposure

• Statistical Analysis
• Machine Learning Algorithms
• AI Techniques (e.g., reinforcement learning, deep learning)