The purpose of Meteo Rwanda is to provide weather, water and climate information services for safety of life and property and socio-economic development. In Rwanda, observations of rainfall and temperature were established in the 1930s but the first station was installed at Save in 1906
1. Job Title: Accountant
Job responsibilities
Manage financial records
Update the budgetary accounting
Update cashbooks
Deduct the expenses from the budget and file all documents related to those operations
Ensure all books of accounts and records related to payments are proper filled and under safe custody
Ensures timely preparations of all financial reports (statutory, ad hoc and management accounts, including exception reports) to management and the Board;
Record any taxes withheld and ensure its payment to the tax authority is done on time;
Receive, verify and record all transactions related to payment based on GAAP applicable in the country;
Perform regular reconciliation statement for all METEO RWANDA accounts
Qualifications
Bachelor’s Degree in Accounting with a foundation level one of CPA/CIA/CPFA/CPFM/ACCA (Applied Knowledge of ACCA) or Stage two of CAT/ API Certificate
0 Year of relevant experience
Bachelor’s Degree in Economics with a foundation level one of CPA/CIA/CPFA/CPFM/ACCA (Applied Knowledge of ACCA) or Stage two of CAT/ API Certificate
0 Year of relevant experience
Bachelor’s Degree in Management with a foundation level one of CPA/CIA/CPFA/CPFM/ACCA (Applied Knowledge of ACCA) or Stage two of CAT/ API Certificate
0 Year of relevant experience
Required competencies and key technical skills
Integrity
Strong critical thinking skills and excellent problem solving skills
Inclusiveness
Accountability
Communication
Teamwork
Client/citizen focus
Professionalism
Commitment to continuous learning
Resource management skills
Analytical skills
Problem solving skills
Decision making skills
Time management skills
Risk management skills
Results oriented
Digital literacy skills
Fluency in Kinyarwanda, English and/or French. Knowledge of all is an added advantage.
Knowledge of accounting, financial reporting and auditing standards (Such as IPSAS, IFRS; ISSAs)
Proficiency in financial management systems
A transition period for professional certification requirement is three (3) years starting from 01st January, 2021. However, a new entrant without the required professional certification for a given job position shall not be eligible, one (1) year before the expiration of the transition period.
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2. Job Title: Big Data Specialist
Job responsibilities
Operate, maintain and protect the Climate Data Management System according to Standard Operating Procedures, and archive the observational data and metadata records according to professional standards
Gather, accumulate all weather and climate data from different national sources, clean it, organize it, in a format acceptable by the database management system in current use.
Register all data reports in appropriate logbooks and digital templates as required of QMS following WMO guidelines.
Process the data and analyze it to extract valuable insights and information.
Identify new sources of data, the period of data reports and develop methods to improve data mining, analysis and reporting.
Write SQL queries to assist in ensuring the data arrangement by station names, type of data and period is extracted from the database.
To ensure the storage of data is enough and its backup and all are securely accessible;
Ensure that all stations reports are archived systematically, create new data definitions for new databases and document alterations made to the already existing ones for purposes of improving analysis, archiving and the management.
Fulfill internal and external data requisitions;
Interpreting data, analyzing results using statistical techniques, graphs or charts
Identify, analyze, and interpret trends or patterns in complex data sets,
Present the findings in reports (tables, charts and or graphs)
Work with management to prioritize business and information needs based on the findings.
Monitor the performance of data mining system and fix issues arising from the system.
Keep track of the trends and correlational patterns among complex data sets.
Perform routine analysis tasks to support day-to-day business functioning and decision making.
Collaborate with Data quality specialist to develop innovative analytical tools.
Work in close collaboration with both the data management team and IT team to accomplish the institutional goals.
NB: A professional/technical certificate or one (1) year relevant working experience in cluster computing resources, climate database management systems, climate modeling, Linux/Unix servers, Python programming languages is required on both Master's and Bachelor's degree
Qualifications
Bachelor's Degree in Data Science, Mathematical Sciences, Big Data, Machine Learning and Artificial Intelligence, Computer Systems with 3 Years of relevant experience
Master's Degree in Data Sciences, Mathematical Sciences, Mathematical Science, Big Data, Machine Learning and Artificial Intelligence, Computer Systems with 1 Years of relevant experience
Required competencies and key technical skills
Integrity
Strong critical thinking skills and excellent problem solving skills
Inclusiveness
Accountability
Communication
Teamwork
Client/citizen focus
Professionalism
Commitment to continuous learning
Resource management skills
Analytical skills
Problem solving skills
Decision making skills
Time management skills
Performance management skills
Results oriented
Digital literacy skills
Fluency in Kinyarwanda, English and/ or French. Knowledge of all is an added advantage
Capacity to run scripts, programming languages and manipulating cluster computer;
Knowledge in quality control, methods of meteorological observations, programming languages
Data management systems skills
Data servers and dataset skills
Ability to provide guidance in weather and climate data processing according to international standards, including WMO guidelines, QMS ISO 9001:2015 and regional/national standard operating procedures
Ability to operate a large-scale meteorological data handling system
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