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Business Intelligence Analyst III (Insights))
Date: 12 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Apply by:
We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
Join Us in Becoming the Best Bank in the World!!
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.
Who We Are!
We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.
Purpose Statement
The Payments team oversees all payment products, including both Card and Electronic Payments. This encompasses the entire payments landscape, covering systems, processing, and business aspects.
Within this framework, the Payments Data Strategy team is dedicated to managing all data-related activities. Our focus areas include data strategy, forecasting and predictive modeling, insights and business analysis, as well as monitoring and reporting.
By utilizing data analysis and visualization tools, the Business Intelligence Analyst will generate actionable business insights that drive tangible value for the organization. This roles involves influencing and supporting the organization in making data-driven decisions that enhance performance, optimize operations, and drive growth.
Our ideal candidate has:
Minimum:
Experience:
- At least 5+ years’ experience in a similar business intelligence analyst role
- Experience and knowledge of the ETL (extraction, transform, load) data flow
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Experience in analysing complex data sets to solve business challenges
- Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
- Experience in building data visualisations using tools such as Power BI
- A good understanding of database management, data warehousing, data mining and data visualisation.
- Experience with stakeholder engagement inc. senior management
- Experience in data quality and incident management
- Understanding of agile project management and experience with tools such as Jira
- Qualty assuring and oversight of the work of others.
Key Responsibilities:
- Insight Generation: Provide data-driven insights that inform strategic and operational decision-making.
- Trend Analysis: Analyze trends to influence business and operational decisions, ensuring the organization remains competitive and responsive to market changes.
- Decision Support: Deliver insights that lead to informed and effective decision-making at all levels of the organization.
Knowledge:
- Understanding of agile project management and experience with tools such as Jira
- Knowledge and experience in using complex SQL to prepare and analyse data
- Knowledge and understanding of data privacy and security regulations and best practices
Ideal:
- Probably experience as a business intelligence analyst within the Banking sector
- Knowledge of change management principles and practices
- Knowledge and experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
- Knowledge and experience in change management methodology (ADKAR)
- Knowledge and experience in lifetime value analysis, propensity modelling, journey mapping, and root cause analysis
- Applied knowledge of User Experience (UX) reviews through customer interactions a customer, product services
- Knowledge and experience in automation using software robots built on platforms such as UiPath or Alteryx
- Programming/Coding: Ability to use scripting languages such as Python or R for data analysis and manipulation
- Basic knowledge and experience is using Version Control (Git)
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Statistics
Education (Ideal or Preferred)
- Certification in Business Analysis or Similar
Skills
- Commercial Thinking Skills
- Facilitation Skills
- Numerical Reasoning skills
- Presentation Skills
- Problem solving skills
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Software Engineer: Full Stack 10089
Date: 12 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Apply by:
We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
Purpose Statement
- The level III Software Engineer plays an integral part in a cross-functional team dedicated to the full software development lifecycle, from concept, to development to deployment and ultimately operating of each product. At this level, Software Engineers are responsible to design, develop, test, deploy, maintain and enhance complex software systems and applications, considering scalability, performance and future requirements. Responsible to guide and support developers and stakeholders in scoping, progress, status and resolution of engineering problems.
- The Full Stack Software Engineer plays a crucial role in developing and maintaining both front-end and back-end components of web applications and works on all layers of the application stack. They are therefore responsible for applying a holistic approach to building solutions that not only offer optimum performance, reliability, and scale but also create great client experiences.
Education (Minimum)
- Grade 12 National Certificate / Vocational
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology
Knowledge and Experience
Experience:
- 6+ years’ proven experience in both front- and back-end software development, project delivery and implementation (in relevant development technologies/language). Experience with modern front-end and back-end frameworks and technologies
Knowledge:
- Proficiency in Core Languages and Development: Ideal candidates are proficient in Node.js, JavaScript, Java, HTML, and other key programming languages, with advanced knowledge in IT systems development processes (SDLC), application development, and programming concepts like algorithms, data structures, and design patterns.
- Containerization and Deployment Skills: Expertise in containerization technologies, including Docker and Kubernetes, is essential, along with a strong understanding of deployment processes, microservices, and event-driven architectures.
- Database Management and Optimization: Skilled in relational and cloud-based database management (e.g., SQL, NoSQL), with experience in designing, implementing, and optimizing complex database schemas and queries for maximum performance and efficiency.
- API and Cloud Integration: Ability to design and integrate RESTful APIs and familiarity with leading cloud computing platforms such as AWS and Azure to enable scalable, cloud-based applications.
- Front-End and Performance Optimization: Solid understanding of responsive design, mobile-first development, browser compatibility, and performance optimization, with experience in front-end build tools, package managers, and version control to ensure a seamless user experience.
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Product Data Engineer II
Date: 9 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Apply by:
We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
Purpose Statement
- To contribute to the design and development of new applications / systems to meet the business requirements of the product line environment.
- To analyse business or system requirements and data to enhance understanding of the product line environment.
- To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing products and systems.
Education (Minimum)
- A relevant tertiary qualification in Information Technology or Data Analysis
Education (Ideal or Preferred)
- A relevant degree in Data Engineering
- Certification in Data Warehousing
Knowledge and Experience
Experience:
Minimum:
- At least 4 years’ proven experience within management information systems (MIS) | data warehousing | data transformation/ systems analysis together with a relevant 3 year tertiary qualification
OR
- At least 4-6 years’ proven experience within management information systems / system analysis
- Proven experience in:
- A relational data warehouse e.g. SQL server, Oracle etc., and tools that enable ETL and orchestration.
- Testing methodologies
Ideal:
Proven experience in:
- Cloud Environment
- Experience working in an AWS environment as well as with AWS Technologies
- Data Analysis
- Orchestration technologies
Knowledge:
Minimum:
- IT systems development processes (SDLC)
- ETL processes
- Rational database system and cloud data warehousing
- Dimensional modelling
- Standards and governance
- Testing practices
- SQL
Ideal:
- Data architecture (technical design and implementation processes)
- DPLC
- Banking systems environment
- Banking business model
- Best practices for Quality Assurance (QA)
Skills
- Analytical Skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Back-End Software Engineer (JavaScript, TypeScript, Node.js)
Date: 8 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Apply by:
We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below.
Purpose Statement
- The level III Software Engineer plays an integral part in a cross-functional team dedicated to the full software development lifecycle, from concept, to development to deployment and ultimately operating of each product. At this level, Software Engineers are responsible to design, develop, test, deploy, maintain and enhance complex software systems and applications, considering scalability, performance and future requirements. Responsible to guide and support developers and stakeholders in scoping, progress, status and resolution of engineering problems.
- The Back-end Software Engineer plays a crucial role in building solutions that offer optimum performance, reliability, and scale. They are responsible for writing and testing code for the development of the server-side components that power the application’s functionality.
Education (Minimum)
- Grade 12 National Certificate / Vocational
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology
Knowledge and Experience
Experience:
- 6+ years’ proven experience in back-end software development, project delivery and implementation (in relevant development technologies/language)
- Experience with back-end frameworks and technologies
Knowledge:
- Demonstrates expert knowledge of IT systems development processes (SDLC), application development, and complex programming concepts, including algorithms, data structures, and design patterns.
- Skilled in RESTful API design and integration, with strong knowledge of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL) and query optimization techniques.
- Experienced with cloud platforms like AWS and Azure, advanced microservice and event-driven architectures, and containerized deployments using Kubernetes.
- Proficient in JavaScript and TypeScript, with familiarity in Node.js and Express for server-side applications, alongside strong version control practices (Git/GitHub).
- Excellent analytical and problem-solving abilities, with strong communication and collaboration skills. Exposure to Kafka and bot engineering further enhances adaptability to dynamic, data-driven environments.
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Machine Learning Engineer
Date: 7 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Purpose Statement
- To enable Data Scientists and Decision Scientists to do work more efficiently; build, implement, improve and support platform improvements which will support delivery of the Capitec AI strategy.
- To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast-changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.
Experience
NB: Length of experience for Machine Learning Engineers is conditional on the qualifications obtained
- Machine learning and software development experience
- Delivering nonstandard predictive models into a production environment
- Working with Python and SQL
- Experience with the modern software development best practices,
- Working in cloud environments.
- Experience with big data processing frameworks
Qualifications (Minimum)
- Masters Degree in Information Technology – Computer Science or Engineering – Other
Qualifications (Ideal or Preferred)
Knowledge
- Machine learning model life cycle
- Knowledge of machine learning patterns and concepts
- Understanding of distributed systems
- Understand a broad range of data structures and algorithms, and which to use
- Knowledge of engineering and operational excellence best practices
- Ability to debug code through common troubleshooting techniques such as metrics, logs and traces
- Predictive modelling techniques (statistical and machine learning) and deployment
Skills
- Analytical Skills
- Decision making skills
- Planning, organising and coordination skills
- Problem solving skills
- Researching skills
Conditions of Employment
- Clear criminal and credit record
Business Intelligence Analyst III [BI Analyst III]
Date: 6 Nov 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Purpose Statement
- To build value for the product line by solving client and business challenges using data.
- To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster.
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Statistics
Education (Ideal or Preferred)
- Certification in Business Analysis or Similar
Knowledge and Experience
Minimum:
Experience:
- At least 5+ years’ experience in a similar business intelligence analyst role
- Experience and knowledge of the ETL (extraction, transform, load) data flow
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Experience in analysing complex data sets to solve business challenges
- Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
- Experience in building data visualisations using tools such as Power BI
- A good understanding of database management, data warehousing, data mining and data visualisation.
- Experience with stakeholder engagement inc. senior management
- Experience in data quality and incident management
- Understanding of agile project management and experience with tools such as Jira
- Qualty assuring and oversight of the work of others.
Knowledge:
- Understanding of agile project management and experience with tools such as Jira
- Knowledge and experience in using complex SQL to prepare and analyse data
- Knowledge and understanding of data privacy and security regulations and best practices
Ideal:
- Probably experience as a business intelligence analyst within the Banking sector
- Knowledge of change management principles and practices
- Knowledge and experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
- Knowledge and experience in change management methodology (ADKAR)
- Knowledge and experience in lifetime value analysis, propensity modelling, journey mapping, and root cause analysis
- Applied knowledge of User Experience (UX) reviews through customer interactions a customer, product services
- Knowledge and experience in automation using software robots built on platforms such as UiPath or Alteryx
- Programming/Coding: Ability to use scripting languages such as Python or R for data analysis and manipulation
- Basic knowledge and experience is using Version Control (Git)
Skills
- Commercial Thinking Skills
- Facilitation Skills
- Numerical Reasoning skills
- Presentation Skills
- Problem solving skills
Additional Information
- Clear criminal and credit record
Decision Scientist (Planning)
Date: 29 Oct 2024
Location: Stellenbosch, Western Cape, ZA
Company: Capitec Bank Ltd
Apply by: 30/10/2024
We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below
Purpose Statement
- Develop and maintain an accurate rolling 6- 48 months’ supply and demand forecast by analysing historical sales data, demand data, market trends and supply data, considering external factors that have the potential to cause shifts.
- Analyse operations channels performance data to identify opportunities for improvement, and work with other teams to implement process improvements that increase efficiency and improve client experience.
- Track headcount levels across the Capitec’ operations channels to ensure that there are enough resources to meet client demand while minimizing waste and maintaining service levels.
- Use data analytics and visualisation to identify demand and supply problems and empower business owners to make decisions that advance their business goals. Develop solutions and models to positively impact these.
- Track the impact of change drivers on workload and service levels.
- Monitor and report on important changes in demand drivers and business strategies. Propose and implement solutions to improve demand forecast accuracy.
- Simulate future demand and supply scenarios and inform decision making and business priorities.
- Prepare and facilitate month Sales and Operations Planning (S&OP) meetings.
Education (Minimum)
- Honours Degree in Mathematics or Statistics
Education (Ideal or Preferred)
- Masters Degree in Mathematics or Statistics
Knowledge and Experience
Minimum Knowledge and Experience:
Experience:
- Length of experience required is conditional on the qualifications obtained
- Experience in statistical (predictive and classification) model development and deployment incl. traditional scoring (logistic regression with binning and missing value replacement e.g. reject inference), machine learning (neural networks, SVM, random forests etc.), and quantitative analysis (time value of money etc.)
- General business know-how: e.g. risk, compliance, operations e.g. NCR, POPIA, SARB
- Business analysis and requirements gathering
- Working in cloud environments e.g. Azure, AWS and large relational databases
- Experience in at least one ML language (e.g. Python or SAS Viya)
- Functional business area (e.g. Credit) environment knowledge and experience
Knowledge:
- Understanding of state of the art statistical (predictive and classification) model development and deployment principles and techniques incl. traditional scoring (logistic regression with binning and missing value replacement e.g. reject inference), machine learning (neural networks, SVM, random forests etc.), and quantitative analysis (time value of money etc.).
- Underlying theory and application of machine learning models; able to understand underlying principles and theory.
- Best practices for decision science such as reusability, reproducibility, continuous monitoring, etc
Ideal Knowledge and Experience:
- Financial sector experience
- Working with multiple teams to deliver predictive models into a production environment
- Capitec Decision Science lifecycle
Skills
- Planning, organising and coordination skills
- Numerical Reasoning skills
- Attention to Detail
- Problem solving skills
- Decision making skills
- Interpersonal & Relationship management Skills
- Analytical Skills
- Researching skills
- Presentation Skills
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
All the best with your applications
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