Analytics Engineer
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Experience Required:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 were looking for
Experience
24 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
Bachelors 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
Required Skills:
What were looking for Experience 24 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 Bachelors 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
Company Industry
IT Services and IT Consulting
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
