Qlik Developer

About Kuunda 

Kuunda is a B2B embedded digital financial services company providing liquidity to the informal sector through scalable digital infrastructure and advanced decisioning models. We enable agent networks, SMEs, and consumers to access real time transaction based financing solutions that drive sustainable economic productivity across multiple markets.

Data is core to our credit, risk, liquidity, and operational strategy. Our analytics environment directly influences portfolio performance, partner reporting, and regulatory compliance.

Role Purpose 

We are seeking a Senior Qlik Developer and Analytics Engineer to assist with the Kuunda’s Qlik analytics platform and help manage the design, architecture, optimization, and governance of our business intelligence environment.

This role goes beyond dashboard development. It requires deep expertise in Qlik Sense Enterprise, scalable data modeling, performance engineering, security controls, and integration with cloud data platforms. The successful candidate will act as a technical specialist within the analytics function and ensure that our BI platform supports high volume transactional lending operations across multiple markets.

Key Responsibilities

Analytics Architecture and Platform Assurance

• Maintain the Qlik Sense Enterprise environment, including streams, security rules, data connections, and governance structures.


• Design scalable, modular, and reusable QVD architectures aligned to enterprise data standards.


• Define and enforce naming conventions, model design standards, and deployment best practices.


• Implement structured application layering strategies to support multi market operations.

Data Modeling and Engineering Integration

• Design optimized data models capable of handling high volume transactional datasets.


• Partner with Data Engineering teams to define efficient extraction and pushdown strategies to cloud data warehouses such as Amazon Redshift.


• Develop and maintain production grade load scripts with structured error handling, logging, and incremental load patterns.


• Eliminate synthetic keys, circular references, and inefficient joins across the environment.

Performance Engineering

• Continuously monitor and improve load times and front end performance.


• Optimize set analysis, aggregations, and memory utilization.


• Ensure scalability of applications across growing user bases and expanding datasets.

Governance, Security, and Compliance

• Design and implement robust Section Access and row level security models.


• Ensure data segregation across markets and partner entities.


• Support internal governance standards and external regulatory requirements.


• Collaborate with Information Security and Compliance functions to ensure secure data handling and platform hardening.

Advanced Analytics Enablement

• Integrate model outputs, APIs, and external data sources into Qlik applications.


• Support advanced analytics use cases including predictive modeling outputs and portfolio risk analysis.


• Enable self service analytics capabilities while maintaining governance control.

Stakeholder Leadership

• Act as a technical advisor to Risk, Commercial, Operations, and Executive stakeholders.


• Translate complex business requirements into scalable technical solutions.


• Lead best practice adoption across the analytics function.


• Provide mentorship and guidance to junior developers where applicable.

Required Experience and Competencies

• Minimum 5 to 7 years hands on experience with QlikView and Qlik Sense Enterprise.


• Advanced expertise in Qlik load scripting, data modeling, and performance optimization.


• Strong SQL skills with experience working on cloud data warehouse platforms such as Amazon Redshift.


• Demonstrated experience designing scalable QVD architectures and incremental load frameworks.


• Experience implementing enterprise security models using Section Access.


• Proven experience in high volume transactional or financial services environments.


• Strong understanding of ETL design principles and data pipeline optimization.


• Ability to diagnose and resolve complex data model and performance issues in production environments.


• Excellent communication skills with the ability to engage both technical and non technical stakeholders.

Preferred Experience

• Experience within fintech, lending, or financial services analytics environments.


• Familiarity with AWS data stack including S3, Redshift, Glue, or similar cloud platforms.


• Experience integrating APIs and third party data sources into BI environments.


• Understanding of credit risk metrics such as portfolio at risk, default rates, write off analysis, and segmentation.


• Exposure to CI CD practices for BI deployment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.


• Qlik Sense certification preferred.


• Relevant cloud or data engineering certifications advantageous.

What We Offer

• Opportunity to own and scale a mission critical analytics platform within a growing fintech organization.


• Direct impact on credit, risk, and liquidity decisioning across multiple markets.


• Collaborative, cross functional environment with exposure to executive leadership.


• Competitive salary and performance based incentives.


• Professional development and certification support.


• Flexible work arrangements and an inclusive culture.