Latest Recruitment at Co-operative Bank of Kenya

The role

The successful job holder will be expected to:

• Develop and implement Business intelligence reports, dashboards and other solutions that ensure business optimization and requirements fulfillment. 
• Analyze business/use case requirements from BI analysts to determine operational problems, define data modeling requirements, gather and validate information, apply judgment and statistical tests and develop data structures to support the generation of business insights and strategy.
• Filter, “clean” data, and review reports, printouts, and performance indicators to locate and correct code problems;
• Identify, analyze, and interpret trends or patterns in complex data sets as well as interpret the data and analyze results using statistical techniques and provide ongoing reports.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Design and code reports/dashboards according to user specification with the key objective of delivering reports that will assist in decision making and control. 
• Make changes to system configuration and parameters to accommodate business and technological requirements.
• Provide test interfaces for users to test the reports and dashboards before being put on the production environment.
• Develop and maintain documentation/manuals on system configuration or setup and deal with queries from users and resolve or advise.
• Locate and define new business and technological process improvement opportunities.
• Carry-out analysis of requirements and recommend solutions to address user requirements as well as attend to systems/solution failures and resolve or coordinate the resolution of the problem.
• Develop and maintain documentation/manuals on system configuration or setup in addition to building reusable code and libraries for future use.
• Assist in 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 stakeholders. 
• 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. 
• Rollout Business intelligence solutions to stakeholders and provide test systems for UAT to ensure that functions/features are tested before go-live.
• Secure systems by putting adequate controls and restrict access to programs by users in accordance to the requirements of the bank.
• Strict adherence to all regulations, statutes, standards, practices and all internal processes and procedures as per the relevant manuals and comply with all relevant external legislation and regulations with regard to Compliance requirements.

Qualifications, Skills & Attributes

The successful jobholder will be required to possess the following qualifications: –

• Bachelor of Science Degree in Computer Science or related degree from a recognized university with experience in software development knowledge.
• Minimum 3 years’ experience in software development, data analysis and reporting with a proven record of accomplishment.
• Very strong analytical, presentation & problem-solving skills with the ability to work confidently on high priority problems and present technical ideas in a user-friendly language.
• Technical expertise regarding warehouse design, dimensional modelling and data mining techniques.
• Strong knowledge of and experience with ETL tools (Oracle ODI, Miscrosoft SSIS,Talend) ,query languages(Oracle PL/SQL, SQL), visualization tools (Oracle Analytics Server, Power BI, SSRS, Tableau, click view)
• Working knowledge of databases (Oracle, SQL server)
• Knowledge of programming (Java, C#, Python)
• Very good knowledge of Windows Operating Systems and a fair knowledge of Unix and Linux.

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The role

The successful jobholder will be expected to:

• Perform statistical analysis; deploying models on large data sets.
• Conduct exploratory data analysis
• Source data, Design, develop, and implement predictive models based on machine-learning and AI algorithms
• Evaluate existing model performance by calculating and publishing monthly Performance Metric foe each deployed model
• Transform large, complex datasets into pragmatic, actionable insights, leverage data to identify, quantify and influence tangible business gain by performing ad-hoc analysis and presenting results in reports, dashboards and charts. 
• Transform raw data into meaningful features that enhance model performance
• Implement analytical model designs, perform any restructuring required, and review dataset implementations performed by the data engineer and BI developers.
• Selecting features, building and optimizing classifiers using machine learning techniques and Data mining using bank selected data mining tools.
• Enhance data collection procedures to include information that is relevant for building analytical systems, process, cleanse and verify the integrity of data used for advanced analysis by creating automated anomaly detection systems and constant tracking of its performance.
• Improve data foundational procedures, guidelines and standards and develop best practices for data management, maintenance, reporting and security.
• Implement statistical data quality procedures or test-driven approach for quality assurance and conduct performance tuning to be able to optimize the application of statistical models and scripts.
•  Design, build, and maintain various parts of the data warehousing with respect to requirements gathering, data modeling, metric establishment, reporting production, and data visualization.
• Gather and process raw, unstructured data at scale into a form suitable for analysis then consolidate into the data warehouse in order to perform Business Intelligence and advanced analytics.
• 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.
• Assist to analyze business/use case requirements from BI analysts to determine operational problems, define data modeling requirements, gather and validate information, apply judgment and statistical tests and develop data structures to support the generation of business insights and strategy;
• Provide test interfaces for users to test the reports and dashboards before being put on the production environment and carry out technical user training as required to enable users interpret BI solutions.
• Develop and maintain documentation/manuals on models developed, reports generated and statistical solutions devised.
• Assist in 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 stakeholders. 

Qualifications, Skills & Attributes

The successful jobholder will be required to possess the following qualifications: –

• A degree in mathematics, statistics, data sciences or related quantitative fields. 
• A minimum 3-5 years of business experience as a Data Scientist or applied data experience is required. 
• Experience with relational databases such as Oracle, SQL queries, or OLAP cubes is preferred.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM and Decision Forests
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Proficiency in using query languages such as SQL, Hive, Pig and Experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
• Good applied statistics skills, such as distributions, statistical testing, regression, etc. with good scripting and programming skills
• Knowledge of agile software development process and performance metric tools
• Experience extracting and cleaning text in different formats e.g. HTML, pdf files
• Proven ability to collaborate with other team members across boundaries and contribute productively to the team’s work and output, demonstrating respect for different points of view. Able to use strong interpersonal and teamwork skills to cultivate effective, productive client relationships and partnerships across organizational boundaries.
• Strong co-ordination and project management skills to handle complex projects