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.