Closing: Apr 9, 2024
This position has expiredPublished: Apr 3, 2024 (2 months ago)
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Job Summary
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Requirements
EDUCATIONAL REQUIREMENTS
- Bachelor of Science required in, Information systems, Business Information Technology, statistics, business, development economics, business/project management, or similar.
- A postgraduate IT Certification where the first degree is none technical will be an added advantage.
REQUIRED QUALIFICATIONS
- At least 2-3 years’ experience as a Data Analyst
- Proficiency in Microsoft desktop technologies, Salesforce, Data analytics and visualization tools and technologies such as Microsoft Power BI, STATA, and digital data collection.
- Proficiency and interest in data analytics programming languages (Python, SQL, R, JavaScript)
- Practical understanding and experience of Databases, data pipelines, ETL pipeline and data warehouses.
- Naturally curious and analytical; able to sort through extensive data and craft hypotheses.
- Strong writing skills with experience preparing reports and technical documents.
- Hand-on experience on use of data visualization tools (Tableau and Power BI)
- Strong organizational, communication and writing skills.
- Ability to multi-task and adhere to project timelines.
DESIRED QUALIFICATIONS:
- Database management and programming languages such as SQL, Python, PHP, C#, R
- Experience using electronic data collection platforms such as Taroworks or ODK.
- Experience using Salesforce.
- Experience using GIS systems.
Responsibilities
Requirements
EDUCATIONAL REQUIREMENTS
- Bachelor of Science required in, Information systems, Business Information Technology, statistics, business, development economics, business/project management, or similar.
- A postgraduate IT Certification where the first degree is none technical will be an added advantage.
REQUIRED QUALIFICATIONS
- At least 2-3 years’ experience as a Data Analyst
- Proficiency in Microsoft desktop technologies, Salesforce, Data analytics and visualization tools and technologies such as Microsoft Power BI, STATA, and digital data collection.
- Proficiency and interest in data analytics programming languages (Python, SQL, R, JavaScript)
- Practical understanding and experience of Databases, data pipelines, ETL pipeline and data warehouses.
- Naturally curious and analytical; able to sort through extensive data and craft hypotheses.
- Strong writing skills with experience preparing reports and technical documents.
- Hand-on experience on use of data visualization tools (Tableau and Power BI)
- Strong organizational, communication and writing skills.
- Ability to multi-task and adhere to project timelines.
DESIRED QUALIFICATIONS:
- Database management and programming languages such as SQL, Python, PHP, C#, R
- Experience using electronic data collection platforms such as Taroworks or ODK.
- Experience using Salesforce.
- Experience using GIS systems.
Data Management & Reporting Strategy
- Contribute to the development of data management approach and strategy for BOMA.
- Review and define the reporting requirements based on portfolio assignment.
- Define the data requirements and collection in consultation with the M&E officers to ensure completeness.
- Define the storage and management of the data, particularly reuse and efficiency in the storage and use.
Drive Deployment and Use of Intelligent Data Analytics Tools
- Identification and definition of intelligent analytics use cases for BOMA.
- Exploration, testing and deployment of intelligent data management tools – Artificial intelligence and machine learning.
- Drive progressive change in data literacy and use within BOMA.
Data Consolidation and Reporting
- Conducting analysis of current and historical program data to identify trends that inform implementation choices.
- Interpret and provide insight from the analysis done and enable the business/ program decision making.
- Working jointly with the M&E teams, assist in the development and maintenance of a Standard Data Management Manual and oversee its organizational implementation including DQA protocol.
- Development of M&E reporting templates and other Standardized tools to enhance monitoring and reporting.
- Working jointly with the M&E teams, assist in the development/reviewing of survey manuals and Standard Operating Procedures (SOPs) for existing and new data collection tools.
- Reviewing quality of data sent by enumerators/FOs/M&E Officers and timely reporting to the supervisor on any issues that need to be addressed (Anomalies & irregularities).
Technical Set Up of Data Management Infrastructure and Tools
- Configuration of databases for the storage and management of data.
- Configuration of data pipelines and/or Extracting, Transforming and Loading (ETLs) from data sources to the consolidated database. This includes the management of the configured pipelines.
- Set up and use of data visualization tools. This includes the development of reports, visualizations to answer specific business questions and requirements.
- Set up and application/ use of data intelligence to improve the value of data to the business decision making – application AI to current and future data.
Training, Capacity Building and Technology Support
- Identify technology issues that Enumerators/Field Officers/M&E Officers may have and that may be causing difficulties/ inefficiencies in the data collection processes and recommend and/or execute actions to address in consultation with IT.
- Actively seek and log all M&E and Technology challenges the field teams including the cluster office teams are experiencing for resolution.
- Play a central coordinating role in the reporting and resolution of M&E and Technology issues in the field office.
- Provide the first level support for both M&E and Technology issues including hardware and software.
- Analyze, compile, process and present data in a structure that can easily be understood.
- Assisting in use of program generated data to identify program gaps and trends to improve quality of delivery and respond to current needs.
- Capacity Building of Field M&E team and other Field Program Staff on data collection, analysis and management. Also train them on existing M&E analysis and monitoring templates and technologies supporting M&E.
Program Innovation
- Innovating new ways to visualize data in form of dashboards/charts and in accordance to agreed Key Performance Indicators (KPI) to aid in data for decision making.
- Preparing management and user reports based on outcome of the surveys and donor reports as requested.
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