Afreximbank: Consultant, Assistant Manager
4 days ago
**Reference Number**: SRBLR-ConAM-DATAS
**Nature and Scope**:
**The role of the position holder will be**:
Explore and identify valuable data sources and automate collection processes.
Pre-process structured and unstructured data.
Analyse diverse large amounts of data to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Improve and maintain the Bank's Data Quality and Management frameworks.
Develop a Data Architecture framework, guidelines, standards, policies, and procedures for the Bank.
Assist in the development and maturing of the Enterprise Architecture framework and related business capabilities.
Establish meaningful metrics on key business performance indicators
Ensure that project delivery complies to data governance requirements
**Responsibilities**:
The core tasks, duties, and responsibilities of the Data Scientist and Architect are listed below:
Use predictive/prescriptive modelling to increase and optimize customer experiences, revenue generation, process efficiency, brand management and other business outcomes.
Performing analysis to assess quality and meaning of data
Design and develop dashboards/reports for business management stating trends, patterns, and predictions using relevant data
Build and maintain Business Glossary
Build and maintain data lineage and transformation processes
Build and maintain high-level Data Dictionaries for all core systems
Coordinate Data Stewardship activities
Maintain data and data marts in the Data Lake/Warehouse
Define data standards and models for warehouse architectures.
Champion organisational change management activities in relation to data science and data analytics
Provide solutions and systems architectural work as a data design consultant
Identify data discrepancies and data quality issues, and work with Data Stewards to ensure data consistency, enrichment and integrity.
Coach, mentor, motivate, and supervise Data Stewards and contractors, and influence them to take positive action and accountability for their assigned work and compliance to the Bank's data management framework.
Stay abreast of emerging data management techniques and proactively provide recommendations for improvement
Any other duties as may be assigned by management.
**Requirements**: Qualification and Skill
A Master's or PHD in Statistics, Mathematics, Computer Science, or other quantitative fields.
Possess one or more recognised Data Management qualification/certification. (DMP from DAMA, Degree in Data Science, etc.)
5 or more years direct work experience as a Data Scientist or Data Architect including all aspects of process development and execution.
Experience using statistical computer languages (SAS, R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Strong familiarity with any data management software and tools
Experience with diverse types of database platforms, including No-SQL databases.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Hands-on experience with data architecting, data mining, large-scale data modelling, and business requirements gathering/analysis.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
**Coding knowledge and experience with relevant languages**: C, C++, Java, JavaScript, SQL, Python/R
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages
**Experience using web services**: Redshift, S3, Spark, etc.
**Experience analyzing data from 3rd party providers**: Google Analytics, Site Catalyst, Core metrics, AdWords, Facebook Insights, etc.
**Experience with distributed data/computing tools**: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
**Experience visualizing/presenting data for stakeholders using**: Kibana, NiFi, Grafana, QlikView, Tableau, Business Objects, Snowflake, etc.
Good judgment and the ability to handle stressful situations.
Strong analytical and critical thinking skills
Ability to communicate and function in a culturally diverse and change oriented setting.
Excellent verbal and written communication skills in English. Knowledge of the Bank's other working languages is an added advantage
Willingness to travel and to work long hours where required to achieve the Bank's objectives.
Skills, Knowledge, and Attitude
Experience working both independently and, in a team-oriented, collaborative environment is essential.
Can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities.
Work with stakeholders throughout the Bank to identify opportunities for leveraging Bank's data to drive busin
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