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Co-operative Bank Jobs in Kenya

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.

You demonstrate solid skills in analyzing and decomposing business data. 

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. 

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:
·                     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 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.

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. 

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? 

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? 

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. 

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
 
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? 

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.

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
 
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. 

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