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Data Analyst Job KCB Kenya 2020



Data Analyst Job KCB Kenya 2020
Career Employment Kenya: Data Analyst Job KCB Kenya 2020
Job Description: Today Work Kenya

Data Analyst Jobs, Banking Jobs In Kenya, KCB Bank Jobs

Fintech Department is responsible for driving the Bank’s Digital Strategy; Product and Business development of digital capabilities with new technologies to increase functionality, usage and transactions for NPI. Also responsible for driving the Bank’s products and transactional services via digital technologies for both individuals and businesses (SME & Corporate).

The Data Analyst will be tasked with role of engineering terra-bytes of data into actionable insights and new products for our customers.

 Responsibilities

  • 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.
  • 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. 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 analytic 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;
  • 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. Develop and maintain documentation/manuals on models developed, reports generated and statistical solutions devised.

Qualifications

  • A Bachelor’s degree in Statistics, Data Sciences or related quantitative field. Masters is added advantage.
  • A minimum 5 years proven performance in Data Science & Analytics.
  • Experience with relational Databases such as Oracle, SQL queries, or OLAP cubes is preferred.
  • Experience in development of Credit Score Cards will be an added advantage.
  • 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, Python, Weka, NumPy, MatLab, etc.
  • Excellence in at least R and/or Python 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 Analysis 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.

How to Apply

The above positions are demanding role for which the Bank will provide a competitive remuneration package to the successful candidate. If you believe you can clearly demonstrate your abilities to meet the criteria given above, please log in to our Recruitment portal and submit your application with a detailed CV.

To be considered your application must be received by Wednesday, 26th February 2020.

Qualified candidates with disability are encouraged to apply.

Only short listed candidates will be contacted.

NB: In the event that you are invited to interview for any positions, we will require that you provide us with the following documents:

  • National I.D.
  • KRA Pin Card.
  • Birth Certificate of self.
  • Passport Photo (White Background).
  • NSSF Card.
  • NHIF Card.
  • Police Clearance Certificate (less than 5 Months old).
  • Academic and Professional certificates, including official transcripts.
  • Certificates of Service from previous employers as applicable.

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