Jobs at Badger Holdings (Pty) Ltd

What You'll Do

As our Data Business Analyst, you'll bridge the gap between business and technology by:

• Facilitating workshops to understand business challenges, opportunities and reporting needs.
• Gathering, analysing and documenting business requirements, business rules and functional specifications.
• Defining enterprise KPIs, metrics and business logic for implementation within modern data platforms.
• Working closely with Analytics Engineers to ensure business requirements are accurately translated into data models.
• Analysing data to identify trends, risks, opportunities and operational improvements.
• Building and contributing to dashboards, reports and analytical solutions that support business decision-making.
• Validating data quality, business logic and reporting outputs.
• Maintaining consistent business definitions, data standards and governance practices.
• Presenting insights and recommendations that influence strategic and operational decisions.
• Identifying opportunities to improve business performance through automation, AI and data-driven decision making.

Requirements

What You'll Bring

You'll be successful in this role if you have:

• At least 5 years' experience as a Business Analyst within a data, analytics, systems or technology environment.
• Strong stakeholder management and workshop facilitation skills.
• Experience defining business rules, KPIs and reporting requirements.
• Strong SQL skills for data investigation and validation.
• Experience working with Business Intelligence tools such as Qlik, Power BI or Looker.
• Excellent analytical thinking, problem-solving and communication skills.
• Experience working within Agile delivery environments.
• Knowledge of data governance principles and regulatory requirements.
• Confidence using AI tools to improve productivity and decision-making.

Advantageous Experience

• Experience with dbt or semantic layer concepts.
• Snowflake or other cloud data platforms.
• Python for data analysis.
• Git or version control tools.
• Insurance or financial services experience.
• Exposure to AI-enabled analytics or automation initiatives.

Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, Statistics, Commerce or a related field.
• A recognised Business Analysis certification (IIBA CBAP/CCBA, BCS Business Analysis or equivalent) would be advantageous.
• Microsoft Power BI Data Analyst Associate, SQL certification or other relevant analytics certifications would be beneficial.
• Agile or Scrum certification would be advantageous.

The Kind of Person Who Will Thrive Here

You're someone who:

• Takes ownership and enjoys solving complex business problems.
• Is naturally curious and enjoys asking "why?"
• Thinks commercially and understands how data creates business value.
• Can translate technical concepts into language business stakeholders understand.
• Builds strong relationships across all levels of an organisation.
• Enjoys working in collaborative, fast-paced environments.
• Is passionate about analytics, emerging technologies and continuous learning.

go to method of application »

Key Responsibilities

Data Engineering

• Design and build scalable feature pipelines and training datasets for machine learning models.
• Develop and maintain high-quality data assets within Snowflake.
• Build reliable, monitored and well-documented data pipelines for model training and inference.
• Collaborate with Data Engineering teams to align with platform standards and architecture.
• Validate data quality and ensure consistency with business definitions.
• Apply data governance principles and regulatory requirements including POPIA, FAIS and TCF.

Machine Learning Operations (MLOps)

• Partner with Data Scientists to productionise machine learning models.
• Build and maintain deployment pipelines and model serving infrastructure.
• Implement CI/CD processes for machine learning workflows.
• Manage model versioning, experiment tracking and reproducible deployments.
• Monitor models for performance, reliability and data drift.
• Maintain documentation, auditability and model lineage.
• Support responsible AI practices, including explainability and model governance.
• Troubleshoot production issues and continuously improve model performance.

Engineering & Collaboration

• Help establish ML Engineering standards and best practices.
• Contribute to the architecture of our AI ecosystem across Azure and GCP.
• Work closely with Analytics Engineers to integrate machine learning into business solutions.
• Identify opportunities to improve automation, tooling and delivery.
• Proactively identify risks and recommend practical solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Statistics or a related quantitative field.
• A postgraduate qualification in Artificial Intelligence, Machine Learning or Data Science will be advantageous.
• Relevant industry certifications in Azure, Google Cloud, Snowflake or Machine Learning are advantageous.

Skills & Experience

Essential

• 5+ years' experience in Machine Learning Engineering, Data Engineering or a similar role.
• Proven experience deploying machine learning models into production.
• Strong Python development skills.
• Advanced SQL skills.
• Experience with Snowflake or another cloud data warehouse.
• Experience with Azure cloud services.
• Knowledge of Git, CI/CD pipelines and modern software engineering practices.
• Experience with Docker and containerisation.
• Experience building feature engineering pipelines.
• Understanding of model monitoring, observability and drift detection.
• Knowledge of data governance and regulatory frameworks such as POPIA and FAIS.

Advantageous

• Experience with dbt.
• Databricks experience.
• Feature Store implementation and management.
• API development and model serving.
• Experience within insurance or financial services.
• Exposure to GCP environments.

About You

You'll thrive in this role if you are:

• A collaborative engineer who enjoys partnering with Data Scientists.
• Passionate about building reliable, scalable machine learning solutions.
• Comfortable balancing data engineering with production ML engineering.
• Curious about emerging AI technologies and best practices.
• Pragmatic, solutions-focused and commercially aware.
• Someone who takes ownership and follows work through to completion.
• Committed to engineering quality, documentation and continuous improvement.

go to method of application »

What you will be doing:  

• You’ll lead the delivery of strategic technology projects from planning through implementation, ensuring teams stay aligned, focused and accountable.
• Working across architecture, software development, QA, operations and business teams, you’ll remove roadblocks, manage risks, balance competing priorities and keep delivery on track.
• You’ll also help establish delivery best practices, improve governance and reporting, and create an environment where high-performing teams can consistently deliver quality software.
• This role is instrumental in supporting Softsure’s Clean Architecture transformation and driving continuous improvement across our technology landscape.

Requirements

About you

• You’re an experienced Project Manager with a strong background delivering software development projects, not construction, infrastructure or general business projects.

You’ll bring:

• A Bachelor’s Degree in Project Management, Information Systems, Computer Science, Business Management or a related field
•  At least 3 years’ experience managing software development or technology projects.
• Proven experience delivering complex, cross-functional software initiatives.
• Strong Agile project delivery experience.
•  Experience working closely with software developers, solution architects, QA teams and business stakeholders. 
• Solid knowledge of Azure DevOps, GitHub or similar delivery management platforms.
• Experience presenting project status, risks and delivery updates to senior leadership.
• Professional certifications such as PMP, PRINCE2, Scrum Master or AgilePM will be advantageous, as will experience within insurance or technology transformation programmes.
• Most importantly, you’re someone who leads from the front. You’re organised, decisive, commercially aware and comfortable navigating complex technical environments. You ask the right questions, build credibility quickly and know how to turn strategy into successful delivery.