Analytics Engineer

About the role

At Pargo, data is a core enabler of how we scale, operate, and serve customers.

As an Analytics Engineer, you will own the transformation and modeling layer of our data platform. Your work ensures that raw data is converted into reliable, well-structured, analytics-ready datasets that power reporting, operational decision-making, and strategic insight.

You will focus on building durable data models, maintaining data quality, and enabling analysts and stakeholders to work with trusted data. You will work closely with the Data Team Lead and partner across Commercial, Operations, and Engineering teams.

What you will be responsible for:

Build, maintain, and optimize analytics-ready data models using dbt.

Own transformation logic across core datasets, ensuring correctness, performance, and scalability.

Implement and maintain data quality tests, freshness checks, and validation rules.

Partner with stakeholders to translate business questions into reusable, scalable data models.

Maintain clear and accurate documentation for data models, metrics, and business logic.

Review and manage changes using Git-based version control.

Continuously improve existing models and pipelines rather than rebuilding unnecessarily.

Support downstream analytics and reporting teams by ensuring data reliability and clarity. Requirements

What we’re looking for

Experience

2–4 years of experience in an Analytics Engineer, Analytics-focused Data Engineer, or Senior Data Analyst role.

Proven experience working with production data models and transformation pipelines.

Core technical skills

Advanced SQL with experience modeling complex datasets.

Hands-on experience using dbt in a production environment.

Experience working with a Postgres-based or cloud data warehouse.

Strong understanding of data modeling best practices.

Experience using Git for version control and collaborative development.

Experience with Python.

Nice to have

Exposure to BI tools such as Zoho Analytics, Power BI, or Tableau.

Experience working in a scale-up or fast-paced operational environment.

Qualifications

Bachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, or a closely related quantitative field.

A strong foundation in analytical problem-solving and systems thinking is expected.

You are someone who

Thinks systematically and questions assumptions.

Cares deeply about data quality and reliability.

Can explain complex data concepts clearly to non-technical stakeholders.

Takes ownership and follows work through to impact.

Improves what already exists instead of defaulting to rebuilds.

Is comfortable operating with changing priorities in a growing business. Our approach

Our vision is to create access for anyone in Africa. We work by:

Taking action.

Executing exceptionally.

Embracing change.

Being transparent.

Thinking big while staying grounded in outcomes

Prioritising our customers Benefits

Why join PARGO

Work on real, high-impact data problems in logistics and e-commerce.

Influence how data is modeled and used across the business.

Learn from experienced, hands-on leaders in a scale-up environment.

Competitive remuneration.

Contribution to medical aid and group life cover.

Flexible working hours and hybrid setup.

Strong focus on personal growth and skill development.

A collaborative team culture and a great office in Gardens, Cape Town. About PARGO

Pargo is transforming last-mile delivery in South Africa through smarter, more accessible logistics solutions. Our growing network of Pick-Up Points enables businesses and consumers to move parcels efficiently, even in areas traditional delivery struggles to reach. We are a technology-driven company focused on execution, innovation, and measurable impact.