Data
Management and Analytics at National Microfinance Bank Tanzania/Deadline:2018-06-24
Head of
Data Management and Analytics
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
10+). 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.
Main
Responsibilities:
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. Proposes new
ideas and recommendation on data management leading to enhanced efficiencies
and faster review and analysis of data. Ensure to exercise decision-making and
independent judgment. Provide strategic direction to Data Management &
Analytics unit and ensure alignment and in support of the bank-wide strategy
Provide
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.
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
Explore
how to bring new ventures of data related include: big data, data science,
Artificial intelligence and machine learning in improvement of data
exploration.
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
Create
and maintain metadata to ensure consistent metric definitions and nomenclature
is used within the EDW/BI environment.
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.
Analyze,
query and manipulate data according to defined business rules and procedures
set in the Data Quality Management tool.
People
Management
Hire and
continue to build a world class of data science, analytics & data warehouse
specialist.
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
Attributes:
Innovative
and creative
Ability
to establish and manage structures, processes and standards
Project
management
Strong
planning, organization and documentation skills
Excellent
research, analytical, and problem-solving skills
Ability
to conceptualize and systematically work through projects in accordance with a
structured methodology
Coaching,
leading and motivating skills
Ability
to priorities, meet deadlines and work under pressure
Qualifications
and Experience:
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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
Demonstrate
experience working in a deadline-oriented environment managing multiple
projects simultaneously
Data
quality assurance, use of banking coding dictionaries).
Knowledge
and experience with various databases and key technologies (e.g., Business
Intelligence, Data Warehouse )
Ability
to work on multiple projects, balancing competing priorities.
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.
Ability
to work independently and under pressure with changing priorities. Ability to
prioritize workload and meet deadlines.
Committed
attention to detail and accuracy
Demonstrated
advanced analytic and diagnostic 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
Demonstrate
experience working in a deadline-oriented environment managing multiple
projects simultaneously
Commercial
acumen
Development
of effective partnerships with external and internal stakeholders
Product
portfolio management experience in a software product company
Contribution
to the strategic evolution of a software product
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Location:
Deadline:2018-06-24