Job
Vacancies At National Microfinance Bank (NMB)
JOB
PURPOSE:
Data
Management & Analytics team: is responsible for planning, defining,
scheduling, documenting, and coordinating reporting and data analytics for the
bank. The Head of Data Management & Analytics has oversight of a total of 3
teams: Data warehouse & Business Intelligence team, Central Analytics team
& Data Quality control analyst (headcount 12+).
The unit
is responsible for the development of statistical methodologies, application
tools/programs, and protocols/analyses/reports which support product
development, management information & bank’s performance review. The unit
has the ultimate accountability for ensuring the volume of work produced meets
or exceeds quality level standards of reporting that is required by management
and external stakeholder like the BOT. The head manages and direct the daily operations
report requirements whilst considering the banks long-term or company
initiatives and the impact of those initiatives in reporting.
Lead
strategy around the planning, analysis, and design of MIS & reporting
platform to ensure aligned with the overall informatics strategy to build out
bank strategic plans
Maintains
adherence to strategic direction and standards of technology in support of
information delivery and analytics.
Apply
extensive fundamental and specialized knowledge to the development of MIS
infrastructure, responding to business requirements, implementing new
approaches to automate data processing.
Ensures
flexibility, scalability and reuse of the IT platform for data processing.
Promote best practices and standards in software design and development.
Proposes
new ideas and recommendation on data management leading to enhanced
efficiencies and faster review and analysis of data.
Manage
and attain customer expectations and ensure delivery fulfill expectations.
Ensure
to exercise decision-making and independent judgment.
Management
Information Reporting & Analytics
Provides
functional excellence in the areas of statistics, data analysis and data
processing for the bank by offering high quality of analysis for all aspect of
the business
Champion
a data-driven, fact based approach to management.
Establishment
/Implementation of a good business Intelligence tool that can be used to transform
raw data into meaningful information. Development of reporting packages both
standard as well as support (ADHOC) analytics.
Produce
meaningful metrics and offer fact based insights to help guide strategies for
brand positioning, customer retention, and development, pricing, product
innovation, industry competition and cost effective methods of attracting new
business.
Lead a
team of analysts in data exploration and analytics in support of business
strategies. Drive best practices around descriptive analytics with team
Support
business requirement on reporting environment: by defining and implement
reporting strategy. Act as link between technical team and business: interpret
business requirements, define technical vision and ensure business needs are
met.
Support
the business managers to understand the health of the business, find growth
levers, identify marketing challenges and find productive ways to address the
opportunity for optimization
Drive
the performance of current and new product initiatives by leveraging
appropriate statistical techniques and infrastructure
Assist
business with analysis and data mining capabilities by transforming raw data
into meaningful management information which assist in solving hard analytical
problems
Internal
development of dashboards for senior management’s use in decision making
process. Ensure efficiency in accessing reports through easy accessibility of
management reports to all key business users.
Data
warehouse & Business Intelligence tool Management:
Manage
the life cycle of data integration, data transmission, operational analytics
into enterprise data environments- Data warehouse by diagraming technical
decompositions, describes technical process and data components, and designs
exception handling and controls.
Leads
the strategic technical planning, analysis, and design of the integrated
analytical information assets of the Data warehouse.
Collaborate
with BI analysts, data architects and BI architects during data modeling, data
mapping and system specification activities
Transforms
business-oriented functional specifications into detailed technical
specifications.
Create
and maintain metadata to ensure consistent metric definitions and nomenclature
is used within the EDW/BI environment.
Coordinate
and engage with business partners and the integration and delivery of the
information warehouse environments and associated deliverables through the
effective management of the supporting data and operations teams.
Partners
with IT management and IT architecture, software engineering, and service
delivery organizations, as well as the Operations Center in delivery of the
warehousing and information environment for, the user applications and tools
enabling access to the bank’s information asset, and in support of the hosting
and daily operations of these assets
Data
Quality Management
Establish
a clear data quality policy for the bank. Provide high level of data quality
awareness across multiple staff profiles within the bank.
Research
and determine scope and complexity of data quality issue to identify steps to
fix issue. Evaluate and identify the data quality gap from people, process and
system perspectives.
Ensure a
consistency review of post load audits to identify, compare, and resolve data
quality problems.
Work
with Developers & Data Warehouse team to correct data quality errors.
Improve data quality, reports validity and consistency.
Recommend
process improvements to enhance overall data quality.
Ensure adherence
to data quality standards. Act as a key link of cross-functional cooperation
when it comes to data quality policy implementation.
Resolve
all internal data exceptions in timely and accurate manner. Filter and “clean”
data and review reports for any data quality issues and locate the originating
problem area.
Analyze,
query and manipulate data according to defined business rules and procedures
set in the Data Quality Management tool.
Project
Management:
Responsible
for the leadership and technical direction to project managers to ensure
consistency and successful delivery of multiple, simultaneous projects within
the portfolio.
Assist
in the definition of project scope and objectives, involving all relevant
stakeholders and ensuring technical feasibility. Develop a detailed project
plan to monitor and track progress
Collaborate
with development teams to guide the implementation of project under the unit.
Interfaces with business partners and development teams from the inception of
the project assisting with finalizing the production support strategy.
Manage
financial tracking and budgeting, procurement and vendor management related to
project management activities for solutions providers, staff augmentation
firms, and software providers to ensure compliance with budget and contract
spending limitations, federal and Association procurement and ethics
requirements, and timely and accurate payments and accruals.
Partners
with the bank’s business customers and technical partners to understand
business needs build relationships and manage business customer satisfaction
and leverage technical partner capabilities.
Collaborates
with Enterprise IT peers to engage a development team that balances internal
skills and the required levels of staff augmentation, consulting, and
development center resources. Collaborates with business consultants, project
teams, and business leaders to ensure business customer needs are met.
Manage
changes to the project scope, project schedule, and project costs using
appropriate verification techniques. Measure project performance using
appropriate tools and techniques
People
Management:
Provide
strategic direction to Data Management & Analytics unit and ensure
alignment and in support of the bank-wide strategy
Hire and
continue to build a world class of data science team
Ensure
the development of a high- performing team through embedding formal Performance
appraisal and informal coaching. Manage team on how to conduct meaningful
Performance appraisal discussions with their direct reports and ensure that
they conduct the process effectively
Determine
and analyze training and development needs for people. Ensure that identified
training is budgeted for and executed
Establish
and maintain a succession plan for the key roles in the area
With the
support from the HR Business Partner, interview and recruit new members and
provide support to them during the recruitment of their teams on request
Ensure
that all poor performance is addressed through the NMB Performance guidelines
and that continued poor performance is adequately dealt with.
Develop
appropriate employee opinion survey action items together with the management
team of the business unit and ensure that items are executed
Motivate
employees in the department and ensure that their efforts are recognized
Qualifications
and Experience
Graduate
/Masters in – Business or Accounting and Finance/ Computer
Science/Mathematics OR Post-graduate – Business or Accounting and
Finance/ Computer Science/Mathematics
· 10+ years of experience in managing
business partners and providing management information, descriptive Analytics
or related field
· Strong managerial and interpersonal
skills
· Demonstrate ability to communicate
complex issues and concepts in a simple manner. Excellent verbal communication,
writing and interpersonal skills.
· Demonstrate ability and experience to
develop and defend technical recommendations and budgetary plans
· Extensive experience in core Data
Management activities (e.g., DM Plans, data edit specifications, understanding
of database dictionaries/specs, electronic data transfers, efforts/process in
data quality assurance, use of banking coding dictionaries).
· Knowledge and experience with various
databases and key technologies (e.g., Business Intelligence, Data Warehouse)
· Thorough knowledge of the main
features of the collection of data and the relationship of data elements to
each other
· Demonstrate experience and ability to
work effectively in a dynamic, collaborative and fast-paced atmosphere
· Knowledge and experience with data
warehouses and analytics and reporting tools. Experience in MI and Business
analysis.
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