Data Analyst at InterSwitch

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.

Job Summary

• We are seeking a motivated Data Analyst to provide insights to the Product Management and Innovation team through the identification, collation and analysis of data from various sources to enable data backed decision making.
• To work on big data and analytics projects that gather and integrate large volumes of data, perform analysis, interpret results and patterns, and develop actionable insights and recommendations for inform decision making and enhance Interswitch’s products and platforms.
• To act as a strategic thought partner for cross-functional teams to both generate and evaluate the viability and impact of new tests and initiatives.

Key Responsibilities

Data Collection, Analysis, Insights and Reporting

• Collate data using pre-set tools, methods and formats and perform deep dive analysis to understand drivers of products and platforms performance and customers’ behaviours, identify investment opportunities for growth, expand and sustain Interswitch’s user base and to shape ongoing and future enhancements.
• Consult regularly with cross-functional stakeholders to discuss data and analytic needs and advise functions on optimal use of available data, analysis, reports and models to support those needs. 
• Contribute to the preparation of various data and analytics reports.
• Build and maintain the Interswitch’s data warehouse to support reporting, analysis, dimensional modelling and data development for internal and external stakeholders

Promoting Customer Focus (Business Support and Advice)

• Help others get the most out of data management systems by providing support and advice.
• Interface with business functions sharing actionable insights based upon multiple data sources to inform and assist decision makers on the most expedient ways to improve and optimise products and platforms performance in cost, quality, delivery and user experience.
• Support interpretation of advanced and predictive analytics data, using specialised software tools and functionalities.
• Support data-driven analysis to identify opportunities for product / service improvement.
• Serve as an advocate for data-driven product design, evangelise insights on what is working and what is not to help drive incremental gains in pipeline and revenue.
• Act as mentor and coach to team members while fostering an environment of mutual respect and trust among senior- level team members.
• Work collaboratively with colleagues to build strong customer relationships and meet customer needs.

Improve Data and Analytics Platforms, Systems and Processes

• Empower key stakeholders to access reliable, clean, business data by emphasising quality and best practices, identify and implement improvements to Interswitch’s data pipeline such as better documentation, anomaly detection,
  alerting and instrumentation.
• Research and interpret data, trends, and benchmarks relevant to digital products/ services design.
• Make recommendations to improve data and analytics systems and platforms,contributing to the continuous improvement and refinement of data and analytics strategy.
• Support the advancement of Interswitch’s analytics engineering framework, including scoping of new data models, rigorous documentation of data models and schemas, and standardisation of processes and workflows throughout the
  broader data organisation
• Analyse Interswitch’s funnels, identify areas of improvement, and brainstorm ways to leverage user experience, conversion and profitability.

REQUIREMENTS

• Education:  A First Degree in Computer Science, Engineering, Statistics,Mathematics or related fields.
• Experience: At least 5 years' relevant experience in Data Analysis roles ideally within reputable financial institutions or the payments industry.

Method of Application