Data, Monitoring, and Research jobs at HIAS Refugee Trust of Kenya and Other Companies in Kenya

 
Deadline of this Job: 28 November 2022  

HIAS Kenya is in the process of implementing a global electronic data/client management system (CMS) and operating model for managing client's information. The project will have significant impact on ways of working for HIAS staff, which will require a degree of organizational change or re-alignment in the planning and implementation. The project objective is to enhance the efficiency in service delivery and meet organizational needs and timelines by:
• Coordinating client statistical and data collection activities to avoid duplication of efforts in the production of statistics, ensuring optimal utilization of available resources, and reducing the burden on respondents in providing data
• Promoting collaborating among different programs at HIAS in the collection, compilation and generation of reports and statistical information, including statistics derived from the activities of different programs at HIAS.
• Allowing for uploading of documents to individual client files in the CMS database
• Allowing service planning

The third function lags behind in execution due to historical data which is stored in different data bases and in formats not compatible to CMS database. A large part of the HIAS Kenya office data is currently out of HIAS CMS in formats such as MS Excel, MS Word and physical files.

Objectives & Deliverables:
While HIAS has provided the general scope of work for the consultancy detailed below, the consultant is expected to propose a plausible approach to perform the necessary tasks, covering the general data cleanup required (missing information, elimination of duplicates, etc.), data consistency review and final compilation of all records.

The overall objective of the consultancy is to provide technical expertise for HIAS Kenya in converting data in physical files to a format that can be migrated to the CMS database. This will be done based on a thorough analysis of the current state of many years of data in physical files. The task will involve cleaning the data, editing and capturing existing data in various sources external to the CMS, and converting them into formats to be uploaded to the CMS. The consultant will propose the scope of data cleaning and compilation and validate these procedures with each program.

The consultant, in close collaboration with the HIAS Keya team, is expected to define the protocol that the collected data must comply with, prior to data migration. Also, this consultancy will involve defining how to match the values from the HIAS Kenya historical data collection with the new model in the HIAS CMS database, to produce a single database that must be moved to the data migration template assigned by the CMS HQ team. In summary this consultancy includes the following specific tasks and deliverables:

Tasks and Deliverables
• Work plan and schedule of tasks,
• Detailed review of the existing databases and systems, including excel databases, physical files and CMS.
• Organize at least four consultation meeting with HIAS HQ and county staff to prepare and finalize the digitization structure and protocol
• Develop a written plan to compile and clean up procedures for all databases listed in this consultancy for HIAS Kenya, as well as translation to HIAS CMS Data Model procedures.
• Develop a flowchart of steps needed to migrate the data in the existing datasets into the
• HIAS CMS database. Final compiled and clean data in formats ready to be migrated to the CMS database
• All procedures to be performed shall be accompanied by documentation of the tasks, notes and decision process.

All deliverables are worked on in concert with the assigned HIAS Kenya office focal point and will be communicated periodically to both the country team and the HQ CMS team. Additionally, database cleansing will be worked online, within an internal SharePoint library provided by HIAS HQ, in order to ensure access to information and progress to the country team on an ongoing basis.

Deadline of this Job: 06 December 2022

Primary Responsibilities:
Project Work
• Review and manage quantitative data, generate GIS maps, perform data cleaning, and conduct statistical analysis
• Conduct research and document reviews, perform data analysis, conduct key informant interviews, and compose reports
• Provide project management support, including monitoring the budget and assisting with financial reports, managing subcontractors, reviewing deliverables, and developing project work plans
• Coordinate and schedule meetings, track and monitor the status of projects, and copyedit reports or deliverables
• Contribute to technology and system analyses, such as assisting with contextual assessments and SWOT analysis
• Lead and facilitate presentations to share research findings, recommendations, and lessons learned to both internal and external audiences

Other Assignments
• Assist with writing DDGT communication pieces, including web copy, corporate capability statements, and press releases, as needed
• Advance the growth of the DDGT practice by working internally and externally to increase awareness of DDGT expertise and knowledge
• Contribute to internal DDGT activities to support DT Global staff members and offices
• Take on specialized tasks based on professional interests and past experience

Education & Minimum Qualifications:
• Bachelor’s degree in international development, global health, or a related field; or equivalent combination of education and experience
• 5 years of professional experience, including 2-3 years of relevant data analysis experience including a strong background in data science and experience using GIS and an additional 3+ years of overall program management or operations experience
• Knowledge of data management/data governance processes and policies, including data cleaning, open data, data analytics, and data security
• Experience performing quantitative and qualitative data analysis, including using GIS, creating data visualizations, creating charts/graphs, and sentiment analysis
• Experience developing and executing work plans to deliver high quality products, compelling visualizations, and solid written materials for internal and external clients
• Proficiency in data science and GIS software tools, such as Power BI, Tableau, and ArcGIS
• Proficiency in Microsoft Suite (Word, Excel, and PowerPoint)
• Ability to communicate clearly and concisely, both written and verbally, in English
• Ability to take initiative and handle multiple tasks under tight deadlines, while maintaining keen attention to detail
• Ability to travel and work internationally up to 25%, sometimes on short notice

Preferred Qualifications:
• Master’s degree in international development, global health, or a related field
• Formal training or certification in data management or GIS
• Understanding of and commitment to decreasing technology inequalities and misuse due to gender, socioeconomic status, rural/urban divides, disability, race, literacy, etc.
• Previous project management experience, such as workplan development, financial tracking and reporting, deliverables management, and team communications
• Experience working with international development donors (USAID, World Bank, UN, etc.) and international NGOs
• Experience working remotely and interacting with clients and teams in different time zones and cultures
• Previous international work experience in Africa, the Middle East, and/or Asia
• Proficiency in another language, such as Swahili, Spanish, French, or Arabic

Deadline of this Job: 29 November 2022

Brief Description
Reporting to the Data Infrastructure Chapter lead, the position holder will be responsible for the planning, design, implementation of Big Data platform infrastructure including servers, storage, server networking, backups, and public Cloud (AWS).

Responsibilities
Key accountabilities and decision ownership:
• Design, build, and troubleshooting data storage, RAID, disk volume management, backup, and disaster recovery.
• Allocation of servers and computing resources to Data Engineers, Machine Learning operations Engineers, and other approved users.
• Active participation in the section to enable team meet sectional and departmental Goals and objectives.
• Have a full understanding of the defined performance indicators, assigned tasks, and objectives set.
• Monitoring capacity threshold to ensure proactive upgrades are done to meet growing needs.
• Reliability of planned design to achieve accurate, timely and economical delivery
• Liaison with implementation and support teams to ensure rollout follows the design and meets both the business and engineering specifications
• Ensure vendor solutions are compliant to relevant standards or best practices.

Documentation and process:
• Ensuring accurate, up-to date database documentation of On-Prem server footprint and public cloud infrastructure.
• Adhere to the existing processes in workflow management.
• Process review and recommendation on process improvement
• Preparation of infrastructure projects, POC bid /RFQ documents and Evaluations.
• Learn/research on new technologies/practices in the public cloud and infrastructure domain.
• Running of POCs and subsequent recommendations for approval
• Development of design principles to guide future deployment
QUALIFICATIONS
• BSc /B-Tech in computer Science/Electrical and communication/ Telecoms, Engineering, or a similar field.
• At Least 5 years’ experience as cloud engineer, Systems administrator, Network administrator or analyst in a multifaceted business environment with integrated/mixed windows and major UNIX/Linux server environment.
• Above 5 years’ experience in a busy IT or Telecommunications environment –Involved in Strategy Modelling, Planning, Design and Optimization of compute and storage infrastructure
• AWS Cloud knowledge and deployment models.

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