Esokosolves fundamental flaws linked to paper-based data collection systems. Our solution combines mobile and web-based tools for data collection and analysis, with field deployment and management, to gain insights into targeted individuals and communities. Our services include customized software development for digital surveys, to collect biometric and spatial data; web-enabled reporting dashboards; field agent recruitment, training and management; and verification and payment solution for social protection and agricultural programs.
Job Description
Reports to: Director of Operations
Summary of Role
Esoko is seeking to employ a competent individual for the role of Data Analyst to join our team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
Responsibilities
Manage master data, including creation, updates, and deletion
Provide quality assurance of imported data, working with quality assurance team, if necessary
Process confidential data and information according to guidelines
Help develop reports and analysis
Manage and design the reporting environment, including data sources, security, and metadata
Support the data warehouse in identifying and revising reporting requirements
Support initiatives for data integrity and normalization
Assess tests and implementing new or upgraded software and assisting with strategic decisions on new systems
Generate reports from single or multiple systems
Troubleshoot the reporting database environment and reports
Provide technical expertise in data storage structures, data mining, and data cleaning
Required Skills or Experience
Strong background in Statistics or Mathematics or Computer Science or Data Science or Economics or Agricultural Economics
At least 3-5 years of experience analyzing large scale socio-economic data
Ability to analyze existing tools and databases and provide software solution recommendations
Ability to translate business requirements into non-technical, lay terms
High-level experience in methodologies and processes for managing large-scale databases.
At least experience in two of any of the software for data processing such as R, Stata, SPSS, Python. Knowledge in SQL/Databases will be an added advantage
GIS and mapping applications (ArcGIS, QGIS, GPS receivers, remote sensing packages like Erdas Imagine or ENVI) will be an added advantage
High-level written, presentation and verbal communication skills. Ability to present analysis in appropriate PowerPoint decks or other data visualization tools is a strong plus
Have a consultative approach to problem solving for clients
Passionate about working in a business with strong social impact and about innovative technology
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