Data Solutions Analyst

Capitec

Stellenbosch

On-site

ZAR 700,000 - 1,100,000

Full time

15 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Capitec's Credit Access Data team seeks a seasoned data analyst to shape data warehouse growth, define data structures, and collaborate with senior stakeholders to turn business questions into reliable data used across the bank.

You will lead a Community of Practice, ensuring data quality and governance, while writing clear user stories and coordinating delivery with development and QA teams in an agile setting.

Qualifications

  • Bachelor's degree and 5–10 years in business/data analysis translating requirements into technical specifications.
  • Experience leading data capability initiatives in large-scale environments.
  • Ability to design KPI metrics and dashboards with strong stakeholder collaboration.
  • Experience with data governance and data quality assurance.

Responsibilities

  • Define how data is structured, sourced and stored to power multiple teams and tools across the business.
  • Collaborate with business stakeholders to translate needs into clear data requirements and well-documented solutions.
  • Write user stories with clear acceptance criteria and coordinate delivery across development and QA teams.
  • Lead test plans, validate transformation logic and drive defect resolution.
  • Define and maintain data quality rules and governance processes.
  • Build relationships across business areas and adapt communication to different stakeholders.

Skills

SQL proficiency
Data validation
Dimensional modelling
Stakeholder communication
Agile methodologies

Education

Bachelors Degree in Information Technology — Computer Science or Information Technology

Job description

Over 23 million people bank with us. The data that powers every decision behind that — from product design to credit risk to client experience — needs to be clean, trusted and built to scale. That's where you come in. The Credit Access Data team is growing. We work at the intersection of granting, pricing and decision science, building the data foundations behind new credit products from the ground up. This isn't a maintenance role. You'll have a direct say in how our data warehouse grows, shape architectural decisions and work with senior stakeholders to turn complex business questions into reliable data that teams across our entire organisation can act on. You'll also lead a Community of Practice, bringing data practitioners together to share knowledge and raise standards across the business. We work openly, we move fast and we trust people who know their craft, if you see data as an outcome, not just an output, this is the role for you.

About the role

Over 23 million people bank with us. The data that powers every decision behind that — from product design to credit risk to client experience — needs to be clean, trusted and built to scale. That's where you come in. The Credit Access Data team is growing. We work at the intersection of granting, pricing and decision science, building the data foundations behind new credit products from the ground up. This isn't a maintenance role. You'll have a direct say in how our data warehouse grows, shape architectural decisions and work with senior stakeholders to turn complex business questions into reliable data that teams across our entire organisation can act on. You'll also lead a Community of Practice, bringing data practitioners together to share knowledge and raise standards across the business. We work openly, we move fast and we trust people who know their craft, if you see data as an outcome, not just an output, this is the role for you.

What you'll do
  • Define how data is structured, sourced and stored — so that one trusted set of data powers many different teams and tools across our business
  • Work directly with business stakeholders to understand what they need, then turn those needs into clear data requirements and well‑documented solutions
  • Write user stories with clear acceptance criteria and coordinate delivery across development and QA teams
  • Lead test plans, validate transformation logic and drive defect resolution — so that what gets built is exactly what was agreed
  • Define and maintain data quality rules, engage governance processes and make sure issues get resolved, not just reported
  • Build relationships across multiple business areas and adapt how you communicate depending on who's in the room
Knowledge and Experience
Minimum Experience
  • Bachelors Degree in Information Technology — Computer Science or Information Technology
  • 5–10 years in business and data analysis, translating requirements into technical specifications
  • At least 5 years working across teams, leading data capability initiatives in large‑scale data environments
  • Designs and leads test plans. Validates data transformation logic and reports. Coordinates defect resolution.
  • Understands multiple business functions and data needs. Adapts language and approach to different stakeholders
  • Collaborates with data developers to define KPI's, metrics and dashboard requirements. Ensures alignment to business objectives
Technical skills
  • Strong SQL — data validation, reconciliation and transformation logic
  • Experience with dimensional modelling, star and snowflake schemas, and fact and dimension tables
  • Ability to read and contribute to logical and conceptual data models, and document metadata with full traceability
  • Working knowledge of data warehouse and Lakehouse concepts — data ingestion, ETL processes, data marts and reporting
Ways of working
  • Comfortable writing user stories and coordinating development and QA teams through full delivery cycles
  • Experienced in Agile methodologies and project management
  • Confident communicator who works equally well with technical and non‑technical stakeholders
  • Strong analytical thinker with commercial awareness and a practical approach to problem‑solving
Knowledge
  • Banking, telecommunications and financial services
  • Quantifying business value from data
  • Data Architecture including concepts of data warehousing and Lakehouse
  • Data warehousing including concepts of data sources, data ingestion, data marts, ETL (extract, Transform and Load processes), dashboards and reporting, advanced analytics and predicative modelling
  • Project management and Agile Methodologies
  • Data governance and data management
  • Cross functional facilitation
  • Leading a Community of Practice
Additional Information
  • Clear criminal and credit record
Profile description

Over 23 million people bank with us. The data that powers every decision behind that — from product design to credit risk to client experience — needs to be clean, trusted and built to scale. That's where you come in.

The Credit Access Data team is growing. We work at the intersection of granting, pricing and decision science, building the data foundations behind new credit products from the ground up. This isn't a maintenance role. You'll have a direct say in how our data warehouse grows, shape architectural decisions and work with senior stakeholders to turn complex business questions into reliable data that teams across our entire organisation can act on. You'll also lead a Community of Practice, bringing data practitioners together to share knowledge and raise standards across the business. We work openly, we move fast and we trust people who know their craft, if you see data as an outcome, not just an output, this is the role for you.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Data Solutions Analyst
Data Solutions Analyst

Capitec Bank Ltd. • Stellenbosch

On-site
ZAR 900,000 - 1,200,000
Data Analyst
Data Analyst

Capitec • Stellenbosch

On-site
ZAR 700,000 - 1,100,000
Data Analysts
Data Analysts

ATS Client • Johannesburg

Hybrid
ZAR 900,000 - 1,300,000
Decision Science Manager
Decision Science Manager

Capitec • Wes-Kaap

On-site
ZAR 1,200,000 - 2,000,000
Head, Data & Artificial Intelligence, Business Transformation (Corporate & Investment Banking, Technology)
Head, Data & Artificial Intelligence, Business Transformation (Corporate & Investment Banking, Technology)

ATS Client • Johannesburg

On-site
ZAR 900,000 - 1,500,000
Data and Analytics Specialist
Data and Analytics Specialist

Network Finance • Randburg

On-site
ZAR 420,000 - 780,000
Credit Risk Data Scientist
Credit Risk Data Scientist

Network Finance • Randburg

On-site
ZAR 650,000 - 950,000
Analytics Analyst
Analytics Analyst

Experian • Johannesburg

On-site
ZAR 600,000 - 900,000
Chief Data & Analytics Officer
Chief Data & Analytics Officer

Jobtailor • Sandton

On-site
ZAR 300,000 - 600,000
Analytics Analyst
Analytics Analyst

Experian Group • Johannesburg

On-site
ZAR 600,000 - 900,000