Job Summary
Role Overview
We are seeking a highly capable Analytics Engineer to own and evolve the analytics foundation that supports decision-making across Credit, Marketing, Product, and Finance within a regulated fintech environment.
This role sits at the intersection of Data Engineering and Commercial Analytics, with primary responsibility for building analytics-ready data models, maintaining trusted business metrics, and ensuring high-quality, governed datasets.
Using modern tools such as Snowflake and dbt Cloud, you will enable stakeholders to self-serve insights with confidence, consistency, and speed.
Why This Role Matters
In this role, you will:
- Establish a single, trusted source of truth for business, credit, and financial metrics
- Build scalable, analytics-ready data models for BI and advanced analytics
- Enable reliable self-service reporting across the organisation
- Support regulated reporting through strong governance and documentation
Key Responsibilities
- Analytics Modelling & Transformation
- Design, build, and maintain fact and dimension tables using dimensional modelling best practices
- Develop transformation logic in dbt Cloud to curate analytics datasets
- Write high-quality, performance-optimised SQL in Snowflake
- Define data grain, business rules, and historical logic
- Apply version control, testing, and deployment best practices
- Collaborate with Data Engineering to modernise ELT processes
- Data Quality & Governance
- Own the definition and reconciliation of business KPIs
- Ensure accuracy and compliance of financial and operational metrics
- Implement data quality tests (freshness, volume, relationships, business rules)
- Support regulated reporting requirements
- Maintain clear documentation for models and metrics
- Collaboration & Enablement
- Partner with engineers to optimise pipelines and warehouse performance
- Work closely with BI developers, analysts, and data scientists
- Resolve data issues impacting reporting and compliance
- Contribute to end-to-end data product delivery
- Innovation & Continuous Improvement
- Improve scalability, performance, and usability of analytics models
- Promote best practices in analytics engineering and documentation
- Support the development of long-term analytics architecture standards
Qualifications & Experience
Education
- Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related field
Technical Skills
- Advanced SQL and large-scale data modelling experience
- Strong hands-on experience with Snowflake
- Proficiency in dbt Cloud (transformations, testing, documentation)
- Experience enabling BI tools (Power BI, Tableau, Looker)
- Understanding of ELT architectures
- Experience with Git-based version control and CI/CD (e.g., GitLab)
- Exposure to AWS-based data platforms and pipelines
Office Location: Gardens, Cape Town
Salary Range: R60,000 – R70,000 Basic (CTC), plus benefits
Apply for this role today, contact Sune Pienaar at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: itcareers@hireresolve.za.com
We will contact you telephonically in 3 days should you be suitable for this vacancy.
About
Specialists in Civil, Structural, Mechanical Engineering, Information Technology, Mining, Manufacturing and Finance Careers! Hire Resolve is one of the larger and more agile South African recruitment companies that focus on placing professionals and skilled people in permanent employment and contract employment. We prefer and focus on working with top quality professionals and candidates in South Africa and Africa. Hire Resolve has successfully placed Engineering, Mining, IT, Manufacturing and Finance professionals with top firms across the Western Cape, Eastern Cape, KwaZulu Natal, Gauteng and in Africa. Hire Resolve has assisted candidates to find jobs at over 100 JSE listed companies of which many are global companies with offices and operations in South Africa and Africa. It is for this reason that we are well respected in the industries we operate in and in the recruitment industry.
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