Interswitch Group is
currently recruiting interested and qualified applicants for the position of Acceptance and Acquirer Management
Executive in Nigeria. Learn about the job responsibilities,
qualifications/eligibility and how to apply.
Job
Purpose
·
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.
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 thebroader data organisation.
- Analyse
Interswitch’s funnels, identify areas of improvement, and
brainstorm ways to leverage user experience, conversion and
profitability.
Behavioral Competencies
Manages Complexity
- Makes
sense of complex, high quantity, and sometimes contradictory information
to effectively solve problems.
Plans and Aligns
- Plans and
prioritises work to meet commitments aligned with organisational goals.
For example, outlines clear plans that put actions in a logical sequence;
conveys some time frames. Aligns own work with relevant workgroups. Takes
some steps to reduce bottlenecks and speed up the work.
Tech Savvy
- Anticipates
and adopts innovations in business-building digital and technology
applications. For example, investigates technologies to learn some
cutting-edge best practices. Uses digital / social media to benefit the
team and add value to the work being done; understands how to avoid misuse
of these tools.
Ensures Accountability
- Holds
self and others accountable to meet commitments. For example, accepts
responsibility for own work, both successes and failures. Handles fair
share and does not make excuses for problems. Usually meets commitments to
others.
Cultivates Innovation
- Creates
new and better ways for the organisation to be successful. For example,
approaches professional work in unique or innovative ways. Offers original
ideas. Appreciates others' creative ideas and solutions and provides
helpful input to enhance them.
Collaborates
- Builds
partnerships and works collaboratively with others to meet shared
objectives. For example, readily involves others to accomplish goals;
stays in touch and shares information; discourages "us versus
them" thinking; shows appreciation for others' ideas and input.
Optimises Work
Processes
- Knows the
most effective and efficient processes to get things done, with a
focus on continuous improvement.
Communicates
Effectively
- Develops
and delivers multi-mode communications that convey a clear understanding
of the unique needs of different audiences.
Customer Focus
- Builds
strong customer relationships and delivers customer-centric
solutions.
Balances Stakeholders
- Anticipates
and balances the needs of multiple stakeholders. For example, draws upon
insights from varied sources to gain a rich understanding of how to meet
the needs of multiple internal and external stakeholders. Probes deeply in
order to gain a rich, detailed grasp of the priorities of different
stakeholders; takes initiative to respond to stakeholder problems.
Technical Competencies
Data Collection,
Analysis and Control
- Works
without supervision and provides technical guidance when required on
analysing data trends for use in reports to help guide decision making.
- Works
without supervision and provides technical guidance when required on
acquiring, organising, protecting and processing data to fulfill business
objectives.
Planning and Organising
- Works
without supervision and provides technical guidance when required on
planning, organising, prioritising and overseeing activities to
efficiently meet business objectives.
Business Requirements
Analysis
- Works
without supervision and provides technical guidance when required on
analysing the business requirements that IT solutions must meet. Determine
acceptance and evaluation criteria; Prioritisation; Observation; Focus
groups; Analysis Skills.
Review and Reporting
- Works
without supervision and provides technical guidance when required on
reviewing and creating relevant, lucid and effective reports.
Data Mining and Machine
Learning
- Works
with full competence to extract patterns from large amounts of data. Typically
works without supervision and may provide technical guidance.
Customer Service
Delivery
- Works
without supervision while providing technical guidance as needed on
meeting high customer service standards.
Customer-Focused
Approach
- Works
without supervision and provides technical guidance when required to
orient the seller's organisation around delivering to the key needs of
their customers. Collaborates with customers; Elevates partner insights;
Keeps customer at center of sale; Uses common terminology.
Customer System
Operation
- Works
without supervision and provides technical guidance when required on
understanding and effectively operating all customer management systems.
Data Conversion
- Works
with full competence to use data conversion tools and techniques to encode
data in various formats. Typically works without supervision and may
provide technical guidance.
Data Compression
- Works
with full competence to use data compression tools and techniques to
reduce the size of data with minimal loss of information. Typically works
without supervision and may provide technical guidance.
Education
University First Degree in Computer Science, Engineering, Statistics,
Mathematics or Finance-related field.
Experience
At least 5 years' relevant experience in Data Analysis roles ideally
within reputable financial institutions or the payments industry.
Method
of Application
Interested and
qualified applicants should follow the link below to submit CV and application
letter.
Department:
Purepay - Transaction Switching & Payment Processing
Location:
Lagos Office | Permanent, Nigeria
Application
Deadline: June 8, 2023
>> CLICK HERE TO
APPLY ONLINE
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