Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing and payment infrastructure to government, banks and corporate organizations. Interswitch, through its “Super Switchâ€Â provides online, real-time transaction switching that enable businesses and individuals have access to their funds across the 24 banks in Nigeria and across a variety of payment channels such as Automated Teller Machines (ATMS), Point of Sale (PoS) terminals, Mobile Phones, Kiosks, Web and Bank Branches.
About Interswitch
- Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organizations on a timely and consistent basis. Our vision is to build a prosperous Africa driven by a seamless exchange of value and commerce.
Key Responsibilities
The key focus of this role is to fill existing gaps in how our team approaches and leverages quantitative research. This includes:
- Identify and fill knowledge gaps: Analyze existing UX research processes to identify areas where quantitative data can add value, addressing gaps where qualitative insights alone are insufficient.
- Develop data-backed hypotheses: Work closely with UX designers, product managers, and developers to formulate hypotheses and validate them with data, closing gaps in user feedback and behaviour tracking.
- Implement data analysis: Design, run, and analyze large-scale A/B tests, and behavioural data to fill gaps in our understanding of user journeys and pain points.
- Key metrics definition: Define critical success metrics for new features and existing products that are currently lacking in measurement.
- Collaborate to fill research voids: Partner with qualitative researchers to balance and integrate quantitative insights, ensuring a more holistic understanding of users.
- Proactively address blind spots: Work cross-functionally to identify areas where data collection and user understanding are lacking, offering solutions to bridge these gaps.
Required Qualifications
- Education: Bachelor’s or master’s degree in a relevant field such as Human-Computer Interaction, Statistics, Data Science, or a related discipline.
Experience:
- 2+ years of experience in quantitative UX research, with a focus on filling critical data gaps.
- Proven experience in quantitative data collection methods like surveys, A/B tests, and behavioural analytics.
Skills:
- Expertise in research methodologies that can uncover areas of user behavior currently not captured by the team.
- Proficiency in statistical tools (e.g., R, Python, SQL) to analyze and interpret large data sets, particularly those that have been overlooked or underutilized.
- Experience working with data visualization tools (e.g., Tableau, Power BI) to present actionable insights clearly and address blind spots in user understanding.
- Technical Skills: Ability to implement and track quantitative studies that complement ongoing qualitative research efforts.
Key Competencies
- Data-driven Insight Generation: Skilled at identifying key areas where the team lacks quantitative insights and generating actionable data to address these gaps.
- Cross-team Collaboration: Strong ability to work with UX designers and product teams to ensure all angles of user behaviour are understood.
- Problem-solving: Adept at recognizing and filling research voids where current methodologies do not provide sufficient insight.
- Communication: Strong communication skills to present findings and fill gaps in current user journey understanding to both technical and non-technical stakeholders.
- Proactive Learning: Continuously seeks out opportunities to improve and fill knowledge gaps within the UX team, pushing for data-driven solutions to unknowns.
Method of Application
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