Head of Business Intelligence
You are a data-driven leader with excellent technical, reporting, and analytical prowess coupled with an excellent understanding of Business Intelligence (BI) tools and data warehouse architecture methodologies.
Your ability to communicate to
customers and management; your solid presentation skills; high degree of
motivation, self-direction, commitment and integrity; ability to multi-task;
strong analytical and problem solving skills define you as a leading Business
Intelligence (BI) professional.
Are you looking for an employer who
promotes individual excellence and mutual respect in a team-driven culture with
a key focus on social empowerment?
The Co-operative Bank of Kenya is the
place for those looking to new horizons.
This role, reporting to the Chief Information Officer, will be responsible for the enterprise aligned vision and roadmap for Business Intelligence capabilities and self-service tools; as well as identifying cross Business Unit impact Business Intelligence initiatives and champion/rally the organization around BI.
This role, reporting to the Chief Information Officer, will be responsible for the enterprise aligned vision and roadmap for Business Intelligence capabilities and self-service tools; as well as identifying cross Business Unit impact Business Intelligence initiatives and champion/rally the organization around BI.
The role will also be responsible for
architecture, development, deployment, on-going enhancements and support of
Business Intelligence (reporting) applications.
The Head - Business Intelligence will be required to:
The Head - Business Intelligence will be required to:
- Propose an enterprise-aligned vision and
roadmap for BI capabilities and self-service tools.
- Manage BI analysts (BU and enterprise
analysts) and tool development/maintenance function.
- Oversee delivery of BI solutions to
enterprise, ensuring overall business needs are addressed.
- Work closely with senior stakeholders,
business function leaders and end users to identify and understand the
business needs for insight and intelligence, being sure to challenge,
where necessary, to ensure relevant data and analysis is conducted based
on business need and discuss BI opportunities, resourcing, capabilities,
BI requirements, and information needs.
- Producing relevant, accurate, meaningful,
timely BI reports, dashboards, and analysis based on business need,
including managing the work-flow and prioritization of the team.
- Build and support BI business cases then
document, implement, and provide ongoing support for BI portfolio of
applications as well as research and evaluate alternative solutions and
recommend most efficient/cost-effective technology and /or service
solution.
- Provide technical consulting and leadership in
identifying and implementing new uses of information technologies which
assist Bus/functions to meet their strategic objectives.
- Champion and rally the organization around BI
and educate senior non-IT executives on the value of BI and ensure that
business owns BI as well as educating others on the BI function's
importance and capabilities and providing Provide input into the broader
data intelligence vision and strategy
- Developing and implementing a program of
continuous improvement of BI processes through a cycle of analysis of
existing systems, processes, and tools, identifying areas for improvement,
and implementing high-impact changes, and getting feedback from internal
and external clients.
- Spearhead and introduce relevant BI and
Information Management processes, technologies and tools and ensure BI
tool best practices.
- Understand Key Performance Measures and
Indicators that drive company performance measurement, reporting, and
analytics across functions and understand how these metrics and measures
align and track against overall business strategies, goals and objectives.
Desired Skills and Experience
- A degree in computer science, mathematics, or
an IT related field is required.
- 5+ years of relevant experience which both
professional and management capabilities have been clearly demonstrated;
prior consulting experience desired.
- Experience in working with BI hardware,
software, and services vendors as well as a deep understanding of Business
Intelligence in the banking space, Dimensional Modeling and experience
with one or more Data Modeling and BI tools and the ability to negotiate
and structure contracts favorable to the organization.
- Experienced in developing reporting solutions
with SSRS, Excel, Report Builder, including SSRS native mode and
SP-integrated deployments; SQL Server Analysis Services (SSAS) and SQL
Server Integration Services (SSIS) including developing OLAP solutions and
ETL solutions.
- Experience in designing, architecting and
implementing a relational data warehouse using Microsoft SQL Server
Technologies, dashboard design, development & deployment using
technologies with excel and Excel Services, PerformancePoint Server, and
Power BI.
- Experience as a BI team or project lead, with
an aptitude and enthusiasm for teaching and mentoring others on BI and
related technologies.
- Excellent analytical, proficient communication
and presentation skills coupled with Leadership skills, including
strategic planning as well as management skills with including execution
focus.
- Strong problem solving skills and the ability
to logically analyze complex requirements, processes, systems and
experience with ability in designing solutions encompassing dimensional
models.
- Comfortable dealing with uncertainty by
creating structure and prioritizing effectively, with the ability to
manage complexity and several projects simultaneously.
- Detail-oriented, with a willingness and
aptitude to explore, understand and troubleshoot datasets and data
inconsistencies as well as a deep understanding of how data and BI can
improve decision making and drive growth.
How to apply:
If you are confident that you fit the
role and person profile and you are keen to add value to your career then
please forward your application enclosing detailed Curriculum Vitae to
jobs@co-opbank.co.ke indicating the job reference number HBI/ICT/2015 by 16th
November, 2015.
Head – Data Governance & Strategy
How do companies keep track of the overflow of data in a technology driven market?
How do companies keep track of the overflow of data in a technology driven market?
How can data be turned into an
asset?
How does one discern good data from
unusable data?
Do you know your way around
data?
Do you have a genuine interest in
organizing data for profit and you possess experience in leading major
information management programs in key business areas as well as in
operationalizing data governance and data Quality?
If you are looking for an employer
who promotes individual excellence and mutual respect in a team-driven culture,
with a key focus on social empowerment, then look no further.
Consider this exciting role as Head –
Data Governance & Strategy within the Co-operative Bank of Kenya, “The
Kingdom Bank” the place for those looking to new horizons.
We offer the opportunity for
continued professional development in a congenial corporate environment.
Reporting to the Chief Information Officer, the Head of Data Governance and Strategy will be responsible for ownership of enterprise data and analytics strategy, road map, initiatives, solutions and cross-Business Unit collaboration as well as have the responsibility to ensure the strategy is implemented correctly, the data is correct and secure and privacy is governed correctly.
Reporting to the Chief Information Officer, the Head of Data Governance and Strategy will be responsible for ownership of enterprise data and analytics strategy, road map, initiatives, solutions and cross-Business Unit collaboration as well as have the responsibility to ensure the strategy is implemented correctly, the data is correct and secure and privacy is governed correctly.
The Role
Specifically, the successful
jobholder will be required to:
- Define and execute data management strategy
and ensure alignment of business, IT, and data architectures and ensure
the continuous delivery and operation of integrated data operations and
administrative information systems
- Direct the company-wide data management
technology strategy, to include information access and retrieval,
aggregation, and data warehousing technologies.
- Formulate strategic partnerships with
different Business Units/functions to communicate the data management
vision, goals, and objectives and obtain buy-in at all levels of the
company.
- Establish partnerships with industry to
uncover and share leading practices in data management and inject them in
the company to facilitate continuous improvement while staying abreast of
industry and regulatory developments impacting company-wide data and
related technology and operations.
- Carry out the management and administration of
the Enterprise Data Management function and also leverage the
organization's data and information assets to inform the strategic
direction of the company and have the total overview of what is going on
within the Bank related to data and represent this as a strategic business
asset at executive level.
- Responsible for overall corporate data
governance, to include leading data governance boards, defining, and
ensuring adherence to data quality and integrity standards and policies
collaboratively with the IT organization.
- Craft and manage standard data operating
procedures, data accountability policies, data quality standards, data
privacy and ethical policies as well as being able to understand how to
combine different data sources within the Bank with each other, keep an
updated data dictionary and stay abreast of domain data dictionaries
- Interact regularly with internal and external
data suppliers, information users, and executives to promote leading
practices with respect to the management, protection, and application of
information as well as lead joint business, operations, and IT efforts to
define data integrity and transformation business rules, standards, and
policies.
- Accountable for cross-business data standards,
policies, data management processes and governance, and all related data
technology to include data warehouses and business intelligence
applications.
Desired Skills and Experience
- A degree in statistics, data sciences or
related quantitative fields is preferred (or equivalent on-the-job
experience).
- A minimum 8 years of business experience, with
5 years being in a Data Governance business environment.
- Experience in leading major information
management programs in key business areas and in operationalizing data
governance and data Quality;
- Familiarity with the major data analytics solutions
and products available in the market; Like Oracle, Informatica, IBM
InfoSphere, Pentaho, SAP, SAS, Talend as well as expertise or at least
familiarity with big data solutions such as Hadoop, MapReduce and/or HBase
and different modelling techniques such as data modelling and/or
predictive modelling.
- Expertise in creating and deploying best
practices and methodologies and knowledge about managing and leading
technical data analytics teams across multiple departments.
- Knowledge and experience in building and
supporting data analytics teams across the organization and developing
business cases for technical projects with a lot of uncertainties.
- Strong co-ordination and project management
skills to handle complex projects.
- Strong leadership and communication skills.
How to Apply:
If you are confident that you fit the role and person profile and you are keen to add value to your career then please forward your application enclosing detailed Curriculum Vitae to jobs@co-opbank.co.ke indicating the job reference number HDG/ICT/2015 by 16th November, 2015.
Head – Advanced Analytics
How organizations capture, create and use data is changing the way we work and live.
How organizations capture, create and use data is changing the way we work and live.
Many indicators suggest we are on the
cusp of an analytics revolution that will transform how organizations are
managed, as well as the economies and societies in which they operate.
Want to know what will happen in the future?
Want to know what will happen in the future?
Find the most lucrative
opportunities?
Get insights into impending
outcomes?
Make the best decisions possible and
unearth opportunities for business?
You are a leader and have an edge as
far as data analytics is concerned; you stay on top of the latest analytics
insights and trends, reimagining the possible within data analytics and
analytical innovation.
You think in terms of possibilities,
opportunities and discoveries and have found your niche in the breadth and
depth of advanced analytics that wow.
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
Look no further; Make your move
towards analytical innovation within the Co-operative Bank of Kenya, “The
Kingdom Bank” the place for those looking to new horizons.
The Head of advanced analytics position is the perfect opportunity for you.
The Head of advanced analytics position is the perfect opportunity for you.
You will be a pivotal member of the
Bank and will be responsible for the Banks vision and roadmap for advanced
analytics, identification and implementation of initiatives that drive impact
in advanced analytics and delivery of advanced analytics solutions to the Bank.
The Role
The Role
Specifically, the successful
jobholder will be required to:
- Propose an enterprise aligned vision and
roadmap for Advanced Analytics initiatives.
- Build and Provide overall leadership to the
advanced analytics teams.
- Create and execute a business scale out plan
for Advanced Analytics practice.
- Support and partner with key internal teams
e.g., product teams to understand needs and develop customer analysis with
data and insights to make informed business decisions.
- Oversee delivery of Advanced Analytics
solutions to enterprise, ensuring overall business needs are addressed by
discussing Advanced Analytics opportunities, resourcing, and capabilities
with business units/function leaders.
- Ensure enterprise-wide understanding and
knowledge of enterprise tools and insights derived through focused
workshops and working sessions.
- Provide statistical analysis on custom
research projects and consult on other statistical and custom analysis as
needed.
- Identify cross –Business Unit impact Advanced
Analytics and suggest opportunities for cross- Business Unit
collaboration.
- Manage Advanced Analytics data science and
model development functions as well as identify opportunities to develop
new and innovative tools or approaches to generate greater insights.
- Utilize external insights (third party data)
from the market (either micro or macro-economic) to inform enterprise
decisions and strategy going forward.
- Leverage web analytics and internal database
to address ad hoc questions, introduce web, marketing and social analytics
and use insights to support the evolving data strategy while performing
advanced analytics to derive greater value for business and partners.
- Provide support in building data capabilities
which feed into reporting/modelling and analysis of consumer behaviors
across platforms and over their lifetime e.g partnering with engineering
team to help define data strategy and tool set required to augment and
improve data collected about our audience and generate greater insights;
develop customer segmentation models.
Desired Skills and Experience
- A degree in statistics, data sciences or
related quantitative fields is preferred (or equivalent on-the-job
experience).
- A minimum 7 years of business experience with
5 years in Advanced Analytics is required.
- Experience with relational databases such as
Oracle, SQL queries, or OLAP cubes is preferred.
- Experience with major statistics package or
tools (e.g. R, SAS, and SPSS) are required.
- Experience with Web analytics, experience with
ad serving technologies and optimization tools (e.g. DFP, Yieldex),
experience with Tableau software or other data visualization and analysis
software is preferred.
- Experience using Big Data open source
platforms, such as Hadoop and Spark is a plus as well and experience with
market research methodologies is preferred.
- Expertise in creating and deploying best
practices and methodologies and knowledge about managing and leading
technical data analytics teams across multiple departments.
- Knowledge and experience in building and
supporting data analytics teams across the organization and developing
business cases for technical projects with a lot of uncertainties.
- Strong leadership and communication skills.
- Strong co-ordination and project management
skills to handle complex projects.
How to apply:
If you are confident that you fit the
role and person profile and you are keen to add value to your career then
please forward your application enclosing detailed Curriculum Vitae to
jobs@co-opbank.co.ke indicating the job reference number HAA/ICT/2015 by 16th
November, 2015.
Data Engineer
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
The Co-operative Bank of Kenya, “The
Kingdom bank” is the place for those looking to new horizons.
We seek a fearless inventor with an artistic streak who can find creative solutions to tough problems and sculpt brilliant strategies from a mountain of data, someone who can create the digital equivalent of Mona Lisa with only an algorithm and a smile.
We seek a fearless inventor with an artistic streak who can find creative solutions to tough problems and sculpt brilliant strategies from a mountain of data, someone who can create the digital equivalent of Mona Lisa with only an algorithm and a smile.
Reporting to the Head - Advanced
Analytics, the Data Engineer will be responsible for developing, maintaining,
testing, evaluating and implementing data solutions and data architecture
design.
The Role
The Role
Specifically, the successful
jobholder will be required to:
- Implement data architecture design, perform
any restructuring required, and review dataset implementations performed
by other data engineers.
- Design, create, interpret and manage large
datasets to achieve business goals as well ad Process and update third
party data sources.
- Design, build, and maintain various parts of
the data warehousing and reporting infrastructure, including requirements
gathering, ETL development, data modeling, metric establishment, reporting
production, and data visualization.
- Gather and process raw, unstructured data at
scale (including writing scripts, web scraping, calling APIs, writing SQL
queries, etc). Into a form suitable for analysis then consolidate into the
data warehouse in order to perform Business Intelligence and advanced
analysis.
- Conduct performance tuning to be able to
optimize the application of data across all layers.
- Evaluate datasets for accuracy and quality
using statistical data quality procedures, software, or test-driven
approaches that ensure quality assurance and solve any issues which may
arise.
- Perform data updates, indexing, and
maintenance in application database; as well as maintain data files in
both hard copy and electronic versions.
- Improve data foundational procedures,
guidelines and standards and develop best practices for data management,
maintenance, reporting and security.
- Work with Business Customers to understand
business requirements and implement solutions and with business owners to
develop key business questions and to build datasets that answer those
questions.
- Help implement data management projects and
support business decisions with ad hoc analysis when needed.
- Provide self-serve analytical solutions to
users to analyze medium to large datasets and run mathematical models
without need of IT resources.
Skills, Competencies and Experience
The successful candidate will be
required to have the following skills and competencies:
- Bachelor’s degree in computer science or
software engineering from a recognized university.
- 3 to 5 years of applied data experience.
- Expert knowledge in different (NoSQL or RDBMS)
databases such as MongoDB or Redis.
- Experience with Data warehousing architecture
and data modeling best practices, including performance tuning techniques.
- Exposure to one or more ETL tools and a solid
understanding of ETL pipelines, including functional testing and data
source alerting.
- Advanced skills in a scripting language such
as Python/Java/Scala with ability to tune Hadoop solutions to improve
performance and end-user experience
- Excellent Problem solving skills with passion
for leveraging data to drive significant business impact.
If you fit the profile, then apply
today!
Please forward your application
enclosing detailed Curriculum Vitae to jobs@co-opbank.co.ke indicating the job
reference number DE/1/HRD/2015 as the subject of your email by 16th November,
2015.
We are an equal opportunity employer.
